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Optimum estimation and forecasting of renewable energy consumption by artificial neural networks

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  1. Khanjarpanah, Hossein & Jabbarzadeh, Armin, 2019. "Sustainable wind plant location optimization using fuzzy cross-efficiency data envelopment analysis," Energy, Elsevier, vol. 170(C), pages 1004-1018.
  2. Gilani, H. & Sahebi, H. & Oliveira, Fabricio, 2020. "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, Elsevier, vol. 278(C).
  3. Wang, Qiang & Li, Shuyu & Li, Rongrong, 2018. "Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques," Energy, Elsevier, vol. 161(C), pages 821-831.
  4. Re Cecconi, F. & Moretti, N. & Tagliabue, L.C., 2019. "Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 266-277.
  5. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
  6. Mukisa, Nicholas & Zamora, Ramon & Lie, Tek Tjing, 2021. "Diffusion forecast for grid-tied rooftop solar photovoltaic technology under store-on grid scheme model in Sub-Saharan Africa: Government role assessment," Renewable Energy, Elsevier, vol. 180(C), pages 516-535.
  7. Mohammed, Hayder I. & Rashid, Farhan Lafta & Togun, Hussein & Agyekum, Ephraim Bonah & Ameen, Arman & Hammoodi, Karrar A. & Parveen, Rujda & Kadhim, Saif Ali & Abbas, Walaa N., 2025. "The role of nanotechnology and artificial intelligence in optimizing thermal energy systems," Applied Energy, Elsevier, vol. 400(C).
  8. Dach, J. & Koszela, K. & Boniecki, P. & Zaborowicz, M. & Lewicki, A. & Czekała, W. & Skwarcz, J. & Qiao, Wei & Piekarska-Boniecka, H. & Białobrzewski, I., 2016. "The use of neural modelling to estimate the methane production from slurry fermentation processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 603-610.
  9. Chaturvedi, Shobhit & Rajasekar, Elangovan & Natarajan, Sukumar & McCullen, Nick, 2022. "A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India," Energy Policy, Elsevier, vol. 168(C).
  10. Park, Sang Yong & Yun, Bo-Yeong & Yun, Chang Yeol & Lee, Duk Hee & Choi, Dong Gu, 2016. "An analysis of the optimum renewable energy portfolio using the bottom–up model: Focusing on the electricity generation sector in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 319-329.
  11. Benedetti, Miriam & Cesarotti, Vittorio & Introna, Vito & Serranti, Jacopo, 2016. "Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study," Applied Energy, Elsevier, vol. 165(C), pages 60-71.
  12. Askr, Heba & Basha, Sameh H. & Abdelnapi, Noha MM. & Elgeldawi, Enas & Darwish, Ashraf & Hassanien, Aboul Ella, 2025. "Artificial intelligence for sustainable green hydrogen production: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
  13. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
  14. Zahra Mohtashami & Ali Bozorgi-Amiri & Reza Tavakkoli-Moghaddam, 2024. "A data envelopment analysis model for location optimization of feedstock cultivation in a biodiesel supply chain: a case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 10513-10532, April.
  15. Babazadeh, Reza & Razmi, Jafar & Pishvaee, Mir Saman & Rabbani, Masoud, 2017. "A sustainable second-generation biodiesel supply chain network design problem under risk," Omega, Elsevier, vol. 66(PB), pages 258-277.
  16. Shamsi, Meisam & Babazadeh, Reza, 2022. "Estimation and prediction of Jatropha cultivation areas in China and India," Renewable Energy, Elsevier, vol. 183(C), pages 548-560.
  17. Candas, Soner & Siala, Kais & Hamacher, Thomas, 2019. "Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs," Energy Policy, Elsevier, vol. 125(C), pages 521-536.
  18. Yeo, In-Ae & Yee, Jurng-Jae, 2014. "A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)," Applied Energy, Elsevier, vol. 119(C), pages 99-117.
  19. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
  20. Łukasz Kuźmiński & Yuriy Bilan & Tomasz Norek & Marcin Rabe & Katarzyna Widera & Agnieszka Łopatka & Dalia Streimikiene, 2025. "Territorial Classification of EU Countries Based on the Quality of Environmental Actions in Renewable Energy and Air Pollution in the Years 2015–2017," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(4), pages 6039-6049, August.
  21. Kowalczyk-Juśko, Alina & Pochwatka, Patrycja & Zaborowicz, Maciej & Czekała, Wojciech & Mazurkiewicz, Jakub & Mazur, Andrzej & Janczak, Damian & Marczuk, Andrzej & Dach, Jacek, 2020. "Energy value estimation of silages for substrate in biogas plants using an artificial neural network," Energy, Elsevier, vol. 202(C).
  22. Babazadeh, Reza, 2017. "Optimal design and planning of biodiesel supply chain considering non-edible feedstock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1089-1100.
  23. Bi, Yingxin & Chen, Chunxiang & Huang, Xiaodong & Wang, Haokun & Wei, Guangsheng, 2023. "Discrimination method of biomass slagging tendency based on particle swarm optimization deep neural network (DNN)," Energy, Elsevier, vol. 262(PA).
  24. Kaytez, Fazil, 2020. "A hybrid approach based on autoregressive integrated moving average and least-square support vector machine for long-term forecasting of net electricity consumption," Energy, Elsevier, vol. 197(C).
  25. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 207-217.
  26. Hossein Jargan & Abbas Rohani & Armaghan Kosari-Moghaddam, 2022. "Application of modeling techniques for energy analysis of fruit production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2616-2639, February.
  27. Mehri, Parvaneh & Sabouhi, Fatemeh & Ghaderi, S.F., 2025. "Designing a sustainable and resilient biofuel supply chain considering the water-energy-land nexus: Towards a circular economy," Energy, Elsevier, vol. 329(C).
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