IDEAS home Printed from https://ideas.repec.org/r/eee/juipol/v58y2019icp63-88.html

Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Ren, Xiaoxiao & Tian, Xin & Wang, Kai & Yang, Sifan & Chen, Weixiong & Wang, Jinshi, 2025. "Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion," Energy, Elsevier, vol. 319(C).
  2. Askeland, Magnus & Backe, Stian & Bjarghov, Sigurd & Korpås, Magnus, 2021. "Helping end-users help each other: Coordinating development and operation of distributed resources through local power markets and grid tariffs," Energy Economics, Elsevier, vol. 94(C).
  3. Jing, Rui & Hua, Weiqi & Lin, Jian & Lin, Jianyi & Zhao, Yingru & Zhou, Yue & Wu, Jianzhong, 2022. "Cost-efficient decarbonization of local energy systems by whole-system based design optimization," Applied Energy, Elsevier, vol. 326(C).
  4. Kandpal, Bakul & Backe, Stian & Crespo del Granado, Pedro, 2024. "Enhancing bargaining power for energy communities in renewable power purchase agreements using Gaussian learning and fixed price bargaining," Energy, Elsevier, vol. 309(C).
  5. Kauko, Hanne & Delgado, Benjamín Manrique & Backe, Stian & Sartori, Igor, 2025. "Reducing electricity demand and enhancing heat supply flexibility through energy efficiency and district heating," Energy, Elsevier, vol. 322(C).
  6. Mateo Jesper & Felix Pag & Klaus Vajen & Ulrike Jordan, 2022. "Heat Load Profiles in Industry and the Tertiary Sector: Correlation with Electricity Consumption and Ex Post Modeling," Sustainability, MDPI, vol. 14(7), pages 1-32, March.
  7. Backe, Stian & Delgado, Benjamín Manrique & Askeland, Magnus & Walnum, Harald Taxt & Sørensen, Å se Lekang & Sartori, Igor, 2025. "Impact of activating energy demand flexibility in the building stock: A case study of Norway as a highly electrified country in the European power market," Energy, Elsevier, vol. 318(C).
  8. Backe, Stian & Kara, Güray & Tomasgard, Asgeir, 2020. "Comparing individual and coordinated demand response with dynamic and static power grid tariffs," Energy, Elsevier, vol. 201(C).
  9. Chen, Haoyu & Huang, Hai & Zheng, Yong & Yang, Bing, 2024. "A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model," Applied Energy, Elsevier, vol. 375(C).
  10. Zhu, Jizhong & Dong, Hanjiang & Zheng, Weiye & Li, Shenglin & Huang, Yanting & Xi, Lei, 2022. "Review and prospect of data-driven techniques for load forecasting in integrated energy systems," Applied Energy, Elsevier, vol. 321(C).
  11. Turowski, M. & Heidrich, B. & Weingärtner, L. & Springer, L. & Phipps, K. & Schäfer, B. & Mikut, R. & Hagenmeyer, V., 2024. "Generating synthetic energy time series: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 206(C).
  12. Michael Wood & Emanuele Ogliari & Alfredo Nespoli & Travis Simpkins & Sonia Leva, 2023. "Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies," Forecasting, MDPI, vol. 5(1), pages 1-18, March.
  13. Berg, Kjersti & Hernandez-Matheus, Alejandro & Aragüés-Peñalba, Mònica & Bullich-Massagué, Eduard & Farahmand, Hossein, 2024. "Load configuration impact on energy community and distribution grid: Quantifying costs, emissions and grid exchange," Applied Energy, Elsevier, vol. 363(C).
  14. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  15. Hofmann, Matthias & Lindberg, Karen Byskov, 2024. "Evidence of households' demand flexibility in response to variable hourly electricity prices – Results from a comprehensive field experiment in Norway," Energy Policy, Elsevier, vol. 184(C).
  16. Castillo, Victhalia Zapata & Boer, Harmen-Sytze de & Muñoz, Raúl Maícas & Gernaat, David E.H.J. & Benders, René & van Vuuren, Detlef, 2022. "Future global electricity demand load curves," Energy, Elsevier, vol. 258(C).
  17. Krzysztof Zagrajek, 2021. "A Survey Data Approach for Determining the Probability Values of Vehicle-to-Grid Service Provision," Energies, MDPI, vol. 14(21), pages 1-38, November.
  18. Li, Kang & Duan, Pengfei & Cao, Xiaodong & Cheng, Yuanda & Zhao, Bingxu & Xue, Qingwen & Feng, Mengdan, 2024. "A multi-energy load forecasting method based on complementary ensemble empirical model decomposition and composite evaluation factor reconstruction," Applied Energy, Elsevier, vol. 365(C).
  19. Salman Siddiqui & Mark Barrett & John Macadam, 2021. "A High Resolution Spatiotemporal Urban Heat Load Model for GB," Energies, MDPI, vol. 14(14), pages 1-28, July.
  20. Hanne Kauko & Daniel Rohde & Armin Hafner, 2020. "Local Heating Networks with Waste Heat Utilization: Low or Medium Temperature Supply?," Energies, MDPI, vol. 13(4), pages 1-16, February.
  21. Junhao Zhao & Xiaodong Shen & Youbo Liu & Junyong Liu & Xisheng Tang, 2024. "Enhancing Aggregate Load Forecasting Accuracy with Adversarial Graph Convolutional Imputation Network and Learnable Adjacency Matrix," Energies, MDPI, vol. 17(18), pages 1-28, September.
  22. Kauko, Hanne & Brækken, August & Askeland, Magnus, 2024. "Flexibility through power-to-heat in local integrated energy systems with renewable electricity generation and seasonal thermal energy storage," Energy, Elsevier, vol. 313(C).
  23. Palmer Real, Jaume & Møller, Jan Kloppenborg & Li, Rongling & Madsen, Henrik, 2022. "A data-driven framework for characterising building archetypes: A mixed effects modelling approach," Energy, Elsevier, vol. 254(PB).
  24. Guo, Jiacheng & Zhang, Peiwen & Wu, Di & Liu, Zhijian & Liu, Xuan & Zhang, Shicong & Yang, Xinyan & Ge, Hua, 2022. "Multi-objective optimization design and multi-attribute decision-making method of a distributed energy system based on nearly zero-energy community load forecasting," Energy, Elsevier, vol. 239(PC).
  25. Thomas Steens & Jan-Simon Telle & Benedikt Hanke & Karsten von Maydell & Carsten Agert & Gian-Luca Di Modica & Bernd Engel & Matthias Grottke, 2021. "A Forecast-Based Load Management Approach for Commercial Buildings Demonstrated on an Integration of BEV," Energies, MDPI, vol. 14(12), pages 1-25, June.
  26. Foslie, Sverre Stefanussen & Knudsen, Brage Rugstad & Korpås, Magnus, 2023. "Integrated design and operational optimization of energy systems in dairies," Energy, Elsevier, vol. 281(C).
  27. Brækken, August & Kauko, Hanne & Heggelund, Erik & Holmes, Till & Nilsen, Trym Cohen & Rydså, Line, 2025. "Design optimisation of integrated port energy systems linking electricity, heat and hydrogen," Energy, Elsevier, vol. 333(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.