
Başlık:
Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
Yazar:
Manshahia, Mukhdeep Singh. editor.
ISBN:
9783031264962
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XXII, 285 p. 116 illus., 90 illus. in color. online resource.
Seri:
EAI/Springer Innovations in Communication and Computing,
İçerik:
Chapter 1. General Approaches to Assessing Electrical Load of Agro-Industrial Complex Facilities When Justifying the Parameters of the Photovoltaic Power System -- Chapter 2. RBFNN for MPPT Controller in Wind Energy Harvesting System -- Chapter 3. Simulation Optimum Performance All-Wheels Plug-In Hybrid Electric Vehicle -- Chapter 4. Artificial Intelligence application to flexibility provision in energy management system: a survey -- Chapter 5. Machine Learning Applications for Renewable Energy Systems -- Chapter 6. New Technologies and Equipment For Smelting Technical Silicon -- Chapter 7. Reconfiguration of distribution network considering photovoltaic system placement based on metaheuristic algorithms -- Chapter 8. Technology of Secondary Cast Polycrystalline Silicon And Its Application In The Production Of Solar Cells -- Chapter 9. Machine Learning Applications for Renewable based Energy Systems -- Chapter 10. Bi-Objective Optimal Scheduling of Smart Homes Appliances using Artificial Intelligence -- Chapter 11. Optimal placement of photovoltaic systems and wind turbines in distribution systems by using Northern Goshawk Optimization algorithm -- Chapter 12. Granulated silicon and thermal energy converters on its basis -- Chapter 13. Security Constrained Unit Commitment with Wind Energy Resource using Universal Generating Function.
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-3-031-26496-2Kopya: