Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
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Elsevier BV
Reference51 articles.
1. Combinatorial price offer for a wind turbine with flexible load considering the uncertainty to increase the benefit of wind turbine;Sobhani;Advances in Engineering and Intelligence Systems,2022
2. Evaluating and identifying climatic design features in traditional Iranian architecture for energy saving (case study of residential architecture in northwest of Iran);Nakhaee Sharif;Complexity,2022
3. A novel method based on extreme learning machine to predict heating and cooling load through design and structural attributes;Kumar;Energy Build,2018
4. A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour;Li;Energy,2020
5. Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms;Xu;Energy,2022
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