Работы, цитирующие эту работу

Работ: 4

Работа: Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms

1. Multiobjective optimization framework for renewable energy integration in smart grids with enhanced stability and resilience using reinforcement learning and distributed control systems

   Mohammad R. Altimania, Khaled Saleem S. Alatawi, Sanjarbek Madaminov +3

   СтатьяSmart Grid Energy ManagementInternational Journal of Low-Carbon Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008787

2. Technoeconomic Assessment of Integrated Wind‐Powered Electrolysis Systems With Compressed Hydrogen Storage for Grid Balancing and Transportation Fuel Applications

   Mohammad R. Altimania, O.D. Djurabaev, Zukhra Atamuratova +2

   СтатьяHybrid Renewable Energy SystemsInternational Journal of Energy Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000731

3. Multiobjective Optimization of Double‐Skin Façade Performance Using XGBoost and NSGA‐II in Buildings Under Hot Climate Conditions

   Mohamed Ahmed Said, Azher M. Abed, L. U. Safarova +4

   СтатьяBuilding Energy and Comfort OptimizationInternational Journal of Energy Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004362

4. Comparative Carbon Footprint and Energy Analysis of Buildings Envelope Materials Based on Deep Learning Approach Prediction: Toward Sustainable Cities and Less Carbon Emission

   Ahmed Osman Ibrahim, Azher M. Abed, Zukhra Atamuratova +4

   СтатьяBuilding Energy and Comfort OptimizationInternational Journal of Energy Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.020971