Modeling and Forecasting End-Use Energy Consumption for Residential Buildings in Kuwait Using a Bottom-Up Approach
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Cited by:
- Bader Alshuraiaan, 2021. "Renewable Energy Technologies for Energy Efficient Buildings: The Case of Kuwait," Energies, MDPI, vol. 14(15), pages 1-16, July.
- Jasiński, Tomasz, 2022. "A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
- dos Santos Ferreira, Greicili & Martins dos Santos, Deilson & Luciano Avila, Sérgio & Viana Luiz Albani, Vinicius & Cardoso Orsi, Gustavo & Cesar Cordeiro Vieira, Pedro & Nilson Rodrigues, Rafael, 2023. "Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios," Applied Energy, Elsevier, vol. 339(C).
- Mubarak Alawadhi & Patrick E. Phelan, 2022. "Review of Residential Air Conditioning Systems Operating under High Ambient Temperatures," Energies, MDPI, vol. 15(8), pages 1-46, April.
- Alberto Barbaresi & Mattia Ceccarelli & Giulia Menichetti & Daniele Torreggiani & Patrizia Tassinari & Marco Bovo, 2022. "Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need," Energies, MDPI, vol. 15(4), pages 1-16, February.
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Keywords
energy modeling; bottom-up models; building archetype simulation; unit energy consumption; end-use forecasting; diffusion rate;All these keywords.
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