Работы, цитирующие эту работу

Работ: 5

Работа: Machine Learning and Deep Learning in Energy Systems: A Review

1. Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study

   Mohamed A. Ismail, Ghanim Kadhim Abdul Sada, Abdelfattah Amari +4

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.000093

2. Machine Learning-Based Renewable Energy Systems Fault Mitigation and Economic Assessment

   Syed Ghyasuddin Hashmi, V Balaji, Mohamed Uvaze Ahamed Ayoobkhan +5

   СтатьяEnergy Load and Power ForecastingElectric Power Components and Systems2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.001007

3. Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance

   Amr S. Abouzied, Naeim Farouk, Mohamed Shaban +7

   СтатьяEnergy Load and Power ForecastingEnergy2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000866

4. 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

5. Automated Technical Feature Detection in Electrical Education Projects for Solar Energy Feedback System

   Zukhra Sabirova, Maryam ESHMUHAMEDOVA, Takhir Khamzaev +3

   СтатьяPhotovoltaic System Optimization Techniques2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017472