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The Wind Integration National Dataset (WIND) Toolkit

Citations

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Cited by:

  1. Sun, Mucun & Feng, Cong & Zhang, Jie, 2019. "Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation," Applied Energy, Elsevier, vol. 256(C).
  2. Yuan, Ran & Wang, Bo & Mao, Zhixin & Watada, Junzo, 2021. "Multi-objective wind power scenario forecasting based on PG-GAN," Energy, Elsevier, vol. 226(C).
  3. Deng, Jingchuan & Li, Hongru & Hu, Jinxing & Liu, Zhenyu, 2021. "A new wind speed scenario generation method based on spatiotemporal dependency structure," Renewable Energy, Elsevier, vol. 163(C), pages 1951-1962.
  4. Howard, B. & Waite, M. & Modi, V., 2017. "Current and near-term GHG emissions factors from electricity production for New York State and New York City," Applied Energy, Elsevier, vol. 187(C), pages 255-271.
  5. Tang, Chenghui & Wang, Yishen & Xu, Jian & Sun, Yuanzhang & Zhang, Baosen, 2018. "Efficient scenario generation of multiple renewable power plants considering spatial and temporal correlations," Applied Energy, Elsevier, vol. 221(C), pages 348-357.
  6. Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2020. "On the suitability of offshore wind energy resource in the United States of America for the 21st century," Applied Energy, Elsevier, vol. 262(C).
  7. Alberto Boretti & Stefania Castelletto, 2019. "Low-Frequency Wind Energy Variability in the Continental Contiguous United States," Energies, MDPI, vol. 13(1), pages 1-30, December.
  8. Ruijin Zhu & Bo Tang & Wenhai Wei, 2022. "Ensemble Learning-Based Reactive Power Optimization for Distribution Networks," Energies, MDPI, vol. 15(6), pages 1-15, March.
  9. Li, Xuyang & Qiu, Yingning & Feng, Yanhui & Wang, Zheng, 2021. "Wind turbine power prediction considering wake effects with dual laser beam LiDAR measured yaw misalignment," Applied Energy, Elsevier, vol. 299(C).
  10. Brancucci Martinez-Anido, Carlo & Brinkman, Greg & Hodge, Bri-Mathias, 2016. "The impact of wind power on electricity prices," Renewable Energy, Elsevier, vol. 94(C), pages 474-487.
  11. Feng, Cong & Sun, Mucun & Cui, Mingjian & Chartan, Erol Kevin & Hodge, Bri-Mathias & Zhang, Jie, 2019. "Characterizing forecastability of wind sites in the United States," Renewable Energy, Elsevier, vol. 133(C), pages 1352-1365.
  12. Wu, Tangjie & Ling, Qiang, 2024. "STELLM: Spatio-temporal enhanced pre-trained large language model for wind speed forecasting," Applied Energy, Elsevier, vol. 375(C).
  13. Denholm, Paul & Mai, Trieu, 2019. "Timescales of energy storage needed for reducing renewable energy curtailment," Renewable Energy, Elsevier, vol. 130(C), pages 388-399.
  14. Mai, Trieu & Lopez, Anthony & Mowers, Matthew & Lantz, Eric, 2021. "Interactions of wind energy project siting, wind resource potential, and the evolution of the U.S. power system," Energy, Elsevier, vol. 223(C).
  15. Mike Ludkovski & Glen Swindle & Eric Grannan, 2022. "Large Scale Probabilistic Simulation of Renewables Production," Papers 2205.04736, arXiv.org.
  16. Tavakkoli, Sakineh & Macknick, Jordan & Heath, Garvin A. & Jordaan, Sarah M., 2021. "Spatiotemporal energy infrastructure datasets for the United States: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  17. Gu, Bo & Zhang, Tianren & Meng, Hang & Zhang, Jinhua, 2021. "Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation," Renewable Energy, Elsevier, vol. 164(C), pages 687-708.
  18. Xu, Yuanyuan & Yang, Genke & Luo, Jiliang & He, Jianan & Sun, Haixin, 2022. "A multi-location short-term wind speed prediction model based on spatiotemporal joint learning," Renewable Energy, Elsevier, vol. 183(C), pages 148-159.
  19. Liu, Jingxuan & Zang, Haixiang & Cheng, Lilin & Ding, Tao & Wei, Zhinong & Sun, Guoqiang, 2025. "Generative probabilistic forecasting of wind power: A Denoising-Diffusion-based nonstationary signal modeling approach," Energy, Elsevier, vol. 317(C).
  20. Xiang, Ling & Fu, Xiaomengting & Yao, Qingtao & Zhu, Guopeng & Hu, Aijun, 2024. "A novel model for ultra-short term wind power prediction based on Vision Transformer," Energy, Elsevier, vol. 294(C).
  21. Pierre Pinson & Liyang Han & Jalal Kazempour, 2022. "Regression markets and application to energy forecasting," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 533-573, October.
  22. Italo Fernandes & Felipe M. Pimenta & Osvaldo R. Saavedra & Arcilan T. Assireu, 2022. "Exploring the Complementarity of Offshore Wind Sites to Reduce the Seasonal Variability of Generation," Energies, MDPI, vol. 15(19), pages 1-24, September.
  23. Castillo Fatule, Eduardo J. & Sang, Yuanrui & Espiritu, Jose F., 2025. "Reducing environmental and human health impacts of energy systems through optimal utilization of transmission flexibilities," Energy, Elsevier, vol. 315(C).
  24. Christina Ortega & Amin Younes & Mark Severy & Charles Chamberlin & Arne Jacobson, 2020. "Resource and Load Compatibility Assessment of Wind Energy Offshore of Humboldt County, California," Energies, MDPI, vol. 13(21), pages 1-27, October.
  25. Goteti, Naga Srujana & Hittinger, Eric & Sergi, Brian & Lima Azevedo, Inês, 2021. "How does new energy storage affect the operation and revenue of existing generation?," Applied Energy, Elsevier, vol. 285(C).
  26. Munir Ali Elfarra & Mustafa Kaya, 2018. "Comparison of Optimum Spline-Based Probability Density Functions to Parametric Distributions for the Wind Speed Data in Terms of Annual Energy Production," Energies, MDPI, vol. 11(11), pages 1-15, November.
  27. Jia Zhou & Hany Abdel-Khalik & Paul Talbot & Cristian Rabiti, 2021. "A Hybrid Energy System Workflow for Energy Portfolio Optimization," Energies, MDPI, vol. 14(15), pages 1-28, July.
  28. Gadad, Sanjeev & Deka, Paresh Chandra, 2016. "Offshore wind power resource assessment using Oceansat-2 scatterometer data at a regional scale," Applied Energy, Elsevier, vol. 176(C), pages 157-170.
  29. Craig, Michael & Guerra, Omar J. & Brancucci, Carlo & Pambour, Kwabena Addo & Hodge, Bri-Mathias, 2020. "Valuing intra-day coordination of electric power and natural gas system operations," Energy Policy, Elsevier, vol. 141(C).
  30. Ogunmodede, Oluwaseun & Anderson, Kate & Cutler, Dylan & Newman, Alexandra, 2021. "Optimizing design and dispatch of a renewable energy system," Applied Energy, Elsevier, vol. 287(C).
  31. Jiachen Bian & Jidong J. Yang, 2025. "Smart Street Lighting Powered by Renewable Energy: A Multi-Criteria, Data-Driven Decision Framework," Sustainability, MDPI, vol. 17(13), pages 1-19, June.
  32. Wu, Tangjie & Ling, Qiang, 2024. "Self-supervised dynamic stochastic graph network for spatio-temporal wind speed forecasting," Energy, Elsevier, vol. 304(C).
  33. Thomas Falconer & Jalal Kazempour & Pierre Pinson, 2023. "Towards Replication-Robust Analytics Markets," Papers 2310.06000, arXiv.org, revised Aug 2025.
  34. Zimmerman, Ryan & Panda, Anurag & Bulović, Vladimir, 2020. "Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels," Applied Energy, Elsevier, vol. 276(C).
  35. Conlon, Terence & Waite, Michael & Modi, Vijay, 2019. "Assessing new transmission and energy storage in achieving increasing renewable generation targets in a regional grid," Applied Energy, Elsevier, vol. 250(C), pages 1085-1098.
  36. Olaofe, Z.O., 2019. "Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)," Energy, Elsevier, vol. 189(C).
  37. Waite, Michael & Modi, Vijay, 2019. "Impact of deep wind power penetration on variability at load centers," Applied Energy, Elsevier, vol. 235(C), pages 1048-1060.
  38. Abraham, Aliza & Hong, Jiarong, 2021. "Operational-dependent wind turbine wake impact on surface momentum flux," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  39. Yang, Jaemo & Sengupta, Manajit & Xie, Yu & Shin, Hyeyum Hailey, 2023. "Developing a 20-year high-resolution wind data set for Puerto Rico," Energy, Elsevier, vol. 285(C).
  40. Travis C. Douville & Dhruv Bhatnagar, 2021. "Exploring the Grid Value of Offshore Wind Energy in Oregon," Energies, MDPI, vol. 14(15), pages 1-16, July.
  41. Tai, Sheng-Lun & Gaudet, Brian & Feng, Sha & Krishnamurthy, Raghavendra & Berg, Larry K. & Fast, Jerome D., 2025. "Characterizing model uncertainties in simulated coast-to-offshore wind over the northeast U.S. using multi-platform measurements from the TCAP field campaign," Renewable Energy, Elsevier, vol. 239(C).
  42. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
  43. Rachunok, Benjamin & Staid, Andrea & Watson, Jean-Paul & Woodruff, David L., 2020. "Assessment of wind power scenario creation methods for stochastic power systems operations," Applied Energy, Elsevier, vol. 268(C).
  44. Wen, Honglin, 2024. "Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach," Energy, Elsevier, vol. 300(C).
  45. Mohammad Seydali Seyf Abad & Jin Ma & Ahmad Shabir Ahmadyar & Hesamoddin Marzooghi, 2018. "Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems," Energies, MDPI, vol. 11(11), pages 1-19, November.
  46. Bistline, John & Blanford, Geoffrey & Mai, Trieu & Merrick, James, 2021. "Modeling variable renewable energy and storage in the power sector," Energy Policy, Elsevier, vol. 156(C).
  47. Svitnič, Tibor & Sundmacher, Kai, 2022. "Renewable methanol production: Optimization-based design, scheduling and waste-heat utilization with the FluxMax approach," Applied Energy, Elsevier, vol. 326(C).
  48. Lin, Qingcheng & Cai, Huiling & Liu, Hanwei & Li, Xuefeng & Xiao, Hui, 2024. "A novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection," Energy, Elsevier, vol. 288(C).
  49. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
  50. Dimanchev, Emil G. & Hodge, Joshua L. & Parsons, John E., 2021. "The role of hydropower reservoirs in deep decarbonization policy," Energy Policy, Elsevier, vol. 155(C).
  51. Sewdien, V.N. & Preece, R. & Torres, J.L. Rueda & Rakhshani, E. & van der Meijden, M., 2020. "Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting," Renewable Energy, Elsevier, vol. 161(C), pages 878-892.
  52. Pedro, Hugo T.C. & Lim, Edwin & Coimbra, Carlos F.M., 2018. "A database infrastructure to implement real-time solar and wind power generation intra-hour forecasts," Renewable Energy, Elsevier, vol. 123(C), pages 513-525.
  53. Waite, Michael & Modi, Vijay, 2016. "Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand," Applied Energy, Elsevier, vol. 183(C), pages 299-317.
  54. Roggenburg, Michael & Warsinger, David M. & Bocanegra Evans, Humberto & Castillo, Luciano, 2021. "Combatting water scarcity and economic distress along the US-Mexico border using renewable powered desalination," Applied Energy, Elsevier, vol. 291(C).
  55. Yu, Guangzheng & Liu, Chengquan & Tang, Bo & Chen, Rusi & Lu, Liu & Cui, Chaoyue & Hu, Yue & Shen, Lingxu & Muyeen, S.M., 2022. "Short term wind power prediction for regional wind farms based on spatial-temporal characteristic distribution," Renewable Energy, Elsevier, vol. 199(C), pages 599-612.
  56. Yuan, Qiheng & Zhou, Keliang & Yao, Jing, 2020. "A new measure of wind power variability with implications for the optimal sizing of standalone wind power systems," Renewable Energy, Elsevier, vol. 150(C), pages 538-549.
  57. McManamay, Ryan A. & DeRolph, Christopher R. & Surendran-Nair, Sujithkumar & Allen-Dumas, Melissa, 2019. "Spatially explicit land-energy-water future scenarios for cities: Guiding infrastructure transitions for urban sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 880-900.
  58. Jin, Huaiping & Shi, Lixian & Chen, Xiangguang & Qian, Bin & Yang, Biao & Jin, Huaikang, 2021. "Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models," Renewable Energy, Elsevier, vol. 174(C), pages 1-18.
  59. Chen, Yaoran & Cai, Candong & Cao, Leilei & Zhang, Dan & Kuang, Limin & Peng, Yan & Pu, Huayan & Wu, Chuhan & Zhou, Dai & Cao, Yong, 2024. "WindFix: Harnessing the power of self-supervised learning for versatile imputation of offshore wind speed time series," Energy, Elsevier, vol. 287(C).
  60. Robert Garner & Zahir Dehouche, 2023. "Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community," Energies, MDPI, vol. 16(21), pages 1-23, October.
  61. Xie, Yuying & Li, Chaoshun & Tang, Geng & Liu, Fangjie, 2021. "A novel deep interval prediction model with adaptive interval construction strategy and automatic hyperparameter tuning for wind speed forecasting," Energy, Elsevier, vol. 216(C).
  62. Sward, J.A. & Ault, T.R. & Zhang, K.M., 2023. "Spatial biases revealed by LiDAR in a multiphysics WRF ensemble designed for offshore wind," Energy, Elsevier, vol. 262(PA).
  63. Hodge, Bri-Mathias & Brancucci Martinez-Anido, Carlo & Wang, Qin & Chartan, Erol & Florita, Anthony & Kiviluoma, Juha, 2018. "The combined value of wind and solar power forecasting improvements and electricity storage," Applied Energy, Elsevier, vol. 214(C), pages 1-15.
  64. Xing, Qianyi & Huang, Xiaojia & Wang, Kang & Wang, Jianzhou & Wang, Shuai, 2025. "MIG-EWPFS: An ensemble probabilistic wind speed forecasting system integrating multi-dimensional feature extraction, hybrid quantile regression, and Knee improved multi-objective optimization," Energy, Elsevier, vol. 324(C).
  65. Cole, Wesley & Greer, Daniel & Ho, Jonathan & Margolis, Robert, 2020. "Considerations for maintaining resource adequacy of electricity systems with high penetrations of PV and storage," Applied Energy, Elsevier, vol. 279(C).
  66. Lorenc Malka & Ilirian Konomi & Ardit Gjeta & Skerdi Drenova & Jugert Gjikoka, 2020. "An Approach to the Large-scale Integration of Wind Energy in Albania," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 327-343.
  67. Harrison-Atlas, Dylan & Murphy, Caitlin & Schleifer, Anna & Grue, Nicholas, 2022. "Temporal complementarity and value of wind-PV hybrid systems across the United States," Renewable Energy, Elsevier, vol. 201(P1), pages 111-123.
  68. Saeed, Adnan & Li, Chaoshun & Gan, Zhenhao & Xie, Yuying & Liu, Fangjie, 2022. "A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution," Energy, Elsevier, vol. 238(PC).
  69. Vinel, Alexander & Mortaz, Ebrahim, 2019. "Optimal pooling of renewable energy sources with a risk-averse approach: Implications for US energy portfolio," Energy Policy, Elsevier, vol. 132(C), pages 928-939.
  70. Liu, Yin & Davanloo Tajbakhsh, Sam & Conejo, Antonio J., 2021. "Spatiotemporal wind forecasting by learning a hierarchically sparse inverse covariance matrix using wind directions," International Journal of Forecasting, Elsevier, vol. 37(2), pages 812-824.
  71. Lledó, Ll. & Torralba, V. & Soret, A. & Ramon, J. & Doblas-Reyes, F.J., 2019. "Seasonal forecasts of wind power generation," Renewable Energy, Elsevier, vol. 143(C), pages 91-100.
  72. Fang, Xin & Cui, Hantao & Yuan, Haoyu & Tan, Jin & Jiang, Tao, 2019. "Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  73. Denholm, Paul & Nunemaker, Jacob & Gagnon, Pieter & Cole, Wesley, 2020. "The potential for battery energy storage to provide peaking capacity in the United States," Renewable Energy, Elsevier, vol. 151(C), pages 1269-1277.
  74. Dylan Harrison-Atlas & Galen Maclaurin & Eric Lantz, 2021. "Spatially-Explicit Prediction of Capacity Density Advances Geographic Characterization of Wind Power Technical Potential," Energies, MDPI, vol. 14(12), pages 1-28, June.
  75. Liu, Yichao & Chen, Daoyi & Li, Sunwei & Chan, P.W., 2018. "Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling," Energy, Elsevier, vol. 160(C), pages 582-596.
  76. Chenglong Xu & Peidong Xu & Yuxin Dai & Shi Su & Luxi Zhang & Jun Zhang & Yuyang Bai & Tianlu Gao & Qingyang Xie & Lei Shang & Wenzhong Gao, 2025. "A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models," Energies, MDPI, vol. 18(5), pages 1-21, March.
  77. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  78. Nagababu, Garlapati & Kachhwaha, Surendra Singh & Naidu, Natansh K. & Savsani, Vimal, 2017. "Application of reanalysis data to estimate offshore wind potential in EEZ of India based on marine ecosystem considerations," Energy, Elsevier, vol. 118(C), pages 622-631.
  79. Wang, Yi-Hui & Walter, Ryan K. & White, Crow & Farr, Hayley & Ruttenberg, Benjamin I., 2019. "Assessment of surface wind datasets for estimating offshore wind energy along the Central California Coast," Renewable Energy, Elsevier, vol. 133(C), pages 343-353.
  80. Kwabena Addo Pambour & Rostand Tresor Sopgwi & Bri-Mathias Hodge & Carlo Brancucci, 2018. "The Value of Day-Ahead Coordination of Power and Natural Gas Network Operations," Energies, MDPI, vol. 11(7), pages 1-23, June.
  81. Bhattacharya, Saptarshi & Pennock, Shona & Robertson, Bryson & Hanif, Sarmad & Alam, Md Jan E. & Bhatnagar, Dhruv & Preziuso, Danielle & O’Neil, Rebecca, 2021. "Timing value of marine renewable energy resources for potential grid applications," Applied Energy, Elsevier, vol. 299(C).
  82. Hu, Jinxing & Yan, Pengqian & Tan, Guoqiang, 2025. "Spatiotemporal dependence modeling of wind speeds via adaptive-selected mixture pair copulas for scenario-based applications," Renewable Energy, Elsevier, vol. 244(C).
  83. Loukatou, Angeliki & Johnson, Paul & Howell, Sydney & Duck, Peter, 2021. "Optimal valuation of wind energy projects co-located with battery storage," Applied Energy, Elsevier, vol. 283(C).
  84. Grant, Elenya & Clark, Caitlyn E., 2024. "Hybrid power plants: An effective way of decreasing loss-of-load expectation," Energy, Elsevier, vol. 307(C).
  85. Paul A Rabie & Brandi Welch-Acosta & Kristen Nasman & Susan Schumacher & Steve Schueller & Jeffery Gruver, 2022. "Efficacy and cost of acoustic-informed and wind speed-only turbine curtailment to reduce bat fatalities at a wind energy facility in Wisconsin," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
  86. Shi, Jinhao & Wang, Bo & Luo, Kaiyi & Wu, Yifei & Zhou, Min & Watada, Junzo, 2023. "Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks," Energy, Elsevier, vol. 272(C).
  87. Tanner, Sophia & Burnett, Wesley & Maguire, Karen & Winikoff, Justin, 2024. "Blown Away: The Influence of Wind Farms on Agricultural Land Values," 2024 Annual Meeting, July 28-30, New Orleans, LA 343970, Agricultural and Applied Economics Association.
  88. Peng, Xinghao & Li, Yanting & Tsung, Fugee, 2024. "A graph attention network with spatio-temporal wind propagation graph for wind power ramp events prediction," Renewable Energy, Elsevier, vol. 236(C).
  89. Li Bai & Pierre Pinson, 2019. "Distributed Reconciliation in Day-Ahead Wind Power Forecasting," Energies, MDPI, vol. 12(6), pages 1-19, March.
  90. Liu, Yongqi & Qin, Hui & Zhang, Zhendong & Pei, Shaoqian & Jiang, Zhiqiang & Feng, Zhongkai & Zhou, Jianzhong, 2020. "Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model," Applied Energy, Elsevier, vol. 260(C).
  91. Weifeng Xu & Bing Yu & Qing Song & Liguo Weng & Man Luo & Fan Zhang, 2022. "Economic and Low-Carbon-Oriented Distribution Network Planning Considering the Uncertainties of Photovoltaic Generation and Load Demand to Achieve Their Reliability," Energies, MDPI, vol. 15(24), pages 1-15, December.
  92. Han, Chanok & Vinel, Alexander, 2022. "Reducing forecasting error by optimally pooling wind energy generation sources through portfolio optimization," Energy, Elsevier, vol. 239(PB).
  93. Li, Yanting & Peng, Xinghao & Zhang, Yu, 2022. "Forecasting methods for wind power scenarios of multiple wind farms based on spatio-temporal dependency structure," Renewable Energy, Elsevier, vol. 201(P1), pages 950-960.
  94. Arnas Uselis & Mantas Lukoševičius & Lukas Stasytis, 2020. "Localized Convolutional Neural Networks for Geospatial Wind Forecasting," Energies, MDPI, vol. 13(13), pages 1-21, July.
  95. James, Eric P. & Benjamin, Stanley G. & Marquis, Melinda, 2017. "A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model," Renewable Energy, Elsevier, vol. 102(PB), pages 390-405.
  96. Kakodkar, R. & He, G. & Demirhan, C.D. & Arbabzadeh, M. & Baratsas, S.G. & Avraamidou, S. & Mallapragada, D. & Miller, I. & Allen, R.C. & Gençer, E. & Pistikopoulos, E.N., 2022. "A review of analytical and optimization methodologies for transitions in multi-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  97. Zhang, Jie & Draxl, Caroline & Hopson, Thomas & Monache, Luca Delle & Vanvyve, Emilie & Hodge, Bri-Mathias, 2015. "Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods," Applied Energy, Elsevier, vol. 156(C), pages 528-541.
  98. Gorg Abdelmassih & Mohammed Al-Numay & Abdelali El Aroudi, 2021. "Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms," Energies, MDPI, vol. 14(19), pages 1-15, September.
  99. Ranalli, Joseph & Alhamwi, Alaa, 2020. "Configurations of renewable power generation in cities using open source approaches: With Philadelphia case study," Applied Energy, Elsevier, vol. 269(C).
  100. Li, Can & Conejo, Antonio J. & Liu, Peng & Omell, Benjamin P. & Siirola, John D. & Grossmann, Ignacio E., 2022. "Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1071-1082.
  101. Naga Srujana Goteti & Eric Hittinger & Eric Williams, 2025. "Stochastic Capacity Expansion Model Accounting for Uncertainties in Fuel Prices, Renewable Generation, and Demand," Energies, MDPI, vol. 18(5), pages 1-25, March.
  102. James M. Wilczak & Elena Akish & Antonietta Capotondi & Gilbert P. Compo, 2024. "Evaluation and Bias Correction of the ERA5 Reanalysis over the United States for Wind and Solar Energy Applications," Energies, MDPI, vol. 17(7), pages 1-36, March.
  103. Sun, Shaolong & Du, Zongjuan & Jin, Kun & Li, Hongtao & Wang, Shouyang, 2023. "Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy," Applied Energy, Elsevier, vol. 350(C).
  104. Liuqing Gu & Jian Xu & Deping Ke & Youhan Deng & Xiaojun Hua & Yi Yu, 2024. "Short-Term Output Scenario Generation of Renewable Energy Using Transformer–Wasserstein Generative Adversarial Nets-Gradient Penalty," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
  105. Stanley, Andrew P.J. & King, Jennifer, 2022. "Optimizing the physical design and layout of a resilient wind, solar, and storage hybrid power plant," Applied Energy, Elsevier, vol. 317(C).
  106. Sun, Mucun & Feng, Cong & Zhang, Jie, 2020. "Multi-distribution ensemble probabilistic wind power forecasting," Renewable Energy, Elsevier, vol. 148(C), pages 135-149.
  107. Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2020. "Estimating revenues from offshore wind-storage systems: The importance of advanced battery models," Applied Energy, Elsevier, vol. 276(C).
  108. Bromley-Dulfano, Isaac & Florez, Julian & Craig, Michael T., 2021. "Reliability benefits of wide-area renewable energy planning across the Western United States," Renewable Energy, Elsevier, vol. 179(C), pages 1487-1499.
  109. Brunner, Eric & Hoen, Ben & Hyman, Joshua, 2022. "School district revenue shocks, resource allocations, and student achievement: Evidence from the universe of U.S. wind energy installations," Journal of Public Economics, Elsevier, vol. 206(C).
  110. Gil-García, Isabel C. & Ramos-Escudero, Adela & García-Cascales, M.S. & Dagher, Habib & Molina-García, A., 2022. "Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case," Renewable Energy, Elsevier, vol. 183(C), pages 130-147.
  111. Mohammadi Fathabad, Abolhassan & Cheng, Jianqiang & Pan, Kai & Yang, Boshi, 2023. "Asymptotically tight conic approximations for chance-constrained AC optimal power flow," European Journal of Operational Research, Elsevier, vol. 305(2), pages 738-753.
  112. Yiyang Sun & Xiangwen Wang & Junjie Yang, 2022. "Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction," Energies, MDPI, vol. 15(12), pages 1-17, June.
  113. Sward, J.A. & Ault, T.R. & Zhang, K.M., 2022. "Genetic algorithm selection of the weather research and forecasting model physics to support wind and solar energy integration," Energy, Elsevier, vol. 254(PB).
  114. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
  115. Lopez, Anthony & Mai, Trieu & Lantz, Eric & Harrison-Atlas, Dylan & Williams, Travis & Maclaurin, Galen, 2021. "Land use and turbine technology influences on wind potential in the United States," Energy, Elsevier, vol. 223(C).
  116. Zhao, Yongning & Zhao, Yuan & Liao, Haohan & Pan, Shiji & Zheng, Yingying, 2025. "Interpreting LASSO regression model by feature space matching analysis for spatio-temporal correlation based wind power forecasting," Applied Energy, Elsevier, vol. 380(C).
  117. Murphy, Sinnott & Lavin, Luke & Apt, Jay, 2020. "Resource adequacy implications of temperature-dependent electric generator availability," Applied Energy, Elsevier, vol. 262(C).
  118. Jiafei Huan & Li Deng & Yue Zhu & Shangguang Jiang & Fei Qi, 2024. "Short-to-Medium-Term Wind Power Forecasting through Enhanced Transformer and Improved EMD Integration," Energies, MDPI, vol. 17(10), pages 1-22, May.
  119. Loukatou, Angeliki & Howell, Sydney & Johnson, Paul & Duck, Peter, 2018. "Stochastic wind speed modelling for estimation of expected wind power output," Applied Energy, Elsevier, vol. 228(C), pages 1328-1340.
  120. Ignacio Losada Carreño & Michael T. Craig & Michael Rossol & Moetasim Ashfaq & Fulden Batibeniz & Sue Ellen Haupt & Caroline Draxl & Bri-Mathias Hodge & Carlo Brancucci, 2020. "Potential impacts of climate change on wind and solar electricity generation in Texas," Climatic Change, Springer, vol. 163(2), pages 745-766, November.
  121. Saeed, Adnan & Li, Chaoshun & Gan, Zhenhao, 2024. "Short-term wind speed interval prediction using improved quality-driven loss based gated multi-scale convolutional sequence model," Energy, Elsevier, vol. 300(C).
  122. Taylan G. Topcu & Konstantinos Triantis, 2022. "An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences," Annals of Operations Research, Springer, vol. 309(1), pages 395-423, February.
  123. Jared A. Lee & Paula Doubrawa & Lulin Xue & Andrew J. Newman & Caroline Draxl & George Scott, 2019. "Wind Resource Assessment for Alaska’s Offshore Regions: Validation of a 14-Year High-Resolution WRF Data Set," Energies, MDPI, vol. 12(14), pages 1-22, July.
  124. Shawhan, Daniel & Funke, Christoph & Witkin, Steven, 2020. "Benefits of Energy Technology Innovation Part 1: Power Sector Modeling Results," RFF Working Paper Series 20-19, Resources for the Future.
  125. Brandon N. Benton & Grant Buster & Pavlo Pinchuk & Andrew Glaws & Ryan N. King & Galen Maclaurin & Ilya Chernyakhovskiy, 2025. "Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine," Energies, MDPI, vol. 18(14), pages 1-21, July.
  126. Jaume Manero & Javier Béjar & Ulises Cortés, 2019. "“Dust in the Wind...”, Deep Learning Application to Wind Energy Time Series Forecasting," Energies, MDPI, vol. 12(12), pages 1-20, June.
  127. Sandhu, Rimple & Tripp, Charles & Quon, Eliot & Thedin, Regis & Lawson, Michael & Brandes, David & Farmer, Christopher J. & Miller, Tricia A. & Draxl, Caroline & Doubrawa, Paula & Williams, Lindy & Du, 2022. "Stochastic agent-based model for predicting turbine-scale raptor movements during updraft-subsidized directional flights," Ecological Modelling, Elsevier, vol. 466(C).
  128. Qiaomu Zhu & Jinfu Chen & Lin Zhu & Xianzhong Duan & Yilu Liu, 2018. "Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach," Energies, MDPI, vol. 11(4), pages 1-18, March.
  129. Hanes, Rebecca J. & Gopalakrishnan, Varsha & Bakshi, Bhavik R., 2017. "Synergies and trade-offs in renewable energy landscapes: Balancing energy production with economics and ecosystem services," Applied Energy, Elsevier, vol. 199(C), pages 25-44.
  130. Komal Naz & Fasiha Zainab & Khawaja Khalid Mehmood & Syed Basit Ali Bukhari & Hassan Abdullah Khalid & Chul-Hwan Kim, 2021. "An Optimized Framework for Energy Management of Multi-Microgrid Systems," Energies, MDPI, vol. 14(19), pages 1-15, September.
  131. Hu, Jinxing & Li, Hongru, 2022. "A transfer learning-based scenario generation method for stochastic optimal scheduling of microgrid with newly-built wind farm," Renewable Energy, Elsevier, vol. 185(C), pages 1139-1151.
  132. Duarte Jacondino, William & Nascimento, Ana Lucia da Silva & Calvetti, Leonardo & Fisch, Gilberto & Augustus Assis Beneti, Cesar & da Paz, Sheila Radman, 2021. "Hourly day-ahead wind power forecasting at two wind farms in northeast Brazil using WRF model," Energy, Elsevier, vol. 230(C).
  133. Boffino, Luigi & Conejo, Antonio J. & Sioshansi, Ramteen & Oggioni, Giorgia, 2019. "A two-stage stochastic optimization planning framework to decarbonize deeply electric power systems," Energy Economics, Elsevier, vol. 84(C).
  134. Wang, Qin & Wu, Hongyu & Florita, Anthony R. & Brancucci Martinez-Anido, Carlo & Hodge, Bri-Mathias, 2016. "The value of improved wind power forecasting: Grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales," Applied Energy, Elsevier, vol. 184(C), pages 696-713.
  135. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
  136. Wang, Yun & Song, Mengmeng & Yang, Dazhi, 2024. "Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph," Energy, Elsevier, vol. 289(C).
  137. Rezaei, Mostafa & Akimov, Alexandr & Gray, Evan Mac A., 2024. "Techno-economics of offshore wind-based dynamic hydrogen production," Applied Energy, Elsevier, vol. 374(C).
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