← Назад к работе
Работы, на которые ссылается эта работа
Работ: 64
Работа: Multiobjective optimization framework for renewable energy integration in smart grids with enhanced stability and resilience using reinforcement learning and distributed control systems
The role of renewable energy in the global energy transformation
Dolf Gielen, Francisco Boshell, Değer Saygin +3
Статья2019Цитирований: 19ABIMachine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi +1
Обзорная статья2022Цитирований: 5ABIOptimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms
Оrken Mamyrbayev, Ainur Аkhmediyarova, Дина Оралбекова +2
Статья2025Цитирований: 4ABIA review of analytical and optimization methodologies for transitions in multi-scale energy systems
Rahul Kakodkar, Geping He, C. Doga Demirhan +8
Обзорная статья2022Цитирований: 2ABIMachine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza +2
Обзорная статья2022Цитирований: 2ABIReinforcement Learning Techniques in Optimizing Energy Systems
Stefan Stavrev, Dimitar Ginchev
Статья2024Цитирований: 2ABIA Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems
Обзорная статья2025Цитирований: 2ABI