https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future re...https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future research directions by M. M. A. L. N. Maheepala,Hangxin Li,Dilan Robert,et al,Article116170Abstract:Commercial buildings encounter considerable challenges in predicting and managing energy flexibility,arising from the complexity of their energy systems and the interdependencies among system components and building thermal mass. Nonetheless,the emergence of “smarter buildings” creates significant opportunities for applying machine learning(ML)techniques in energy flexibility.展开更多
文摘https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future research directions by M. M. A. L. N. Maheepala,Hangxin Li,Dilan Robert,et al,Article116170Abstract:Commercial buildings encounter considerable challenges in predicting and managing energy flexibility,arising from the complexity of their energy systems and the interdependencies among system components and building thermal mass. Nonetheless,the emergence of “smarter buildings” creates significant opportunities for applying machine learning(ML)techniques in energy flexibility.
