Description
This comprehensive volume delivers cutting-edge solutions for integrating artificial intelligence into renewable energy systems, addressing critical challenges in sustainable energy transition. Readers will discover innovative approaches to optimizing photovoltaic systems, wind energy conversion, smart grids, and hybrid energy storage through advanced machine learning algorithms and intelligent control strategies.
The book presents practical applications spanning MPPT optimization techniques, predictive maintenance using SCADA data, IoT-based monitoring systems, and AI-driven fault detection in power electronics. Contributors explore emerging topics including green hydrogen production, electric vehicle control systems, energy forecasting with deep learning, and autonomous microgrid management. Special emphasis is placed on real-world implementations tested in diverse environmental conditions.
Featuring contributions from leading international researchers and practitioners, this work bridges the gap between academic research and industrial application. Engineers, researchers, and graduate students working in renewable energy, power systems, and artificial intelligence will find invaluable insights for developing efficient, resilient, and sustainable energy solutions that meet urgent climate and energy security challenges.
Control of grid-connected PV system associated with LCL filter for power production and power factor correction.- Modeling and Control of a Grid-Connected Hybrid Wind-Photovoltaic System with a PMSG Based Wind Turbine and PSO-MPPT Algorithm for the PV Array.- Improving energy quality with renewable energy sources integrated into Algeria's southwest grid.- Study of a Hybrid UPQC with Intelligent Control.- Improvement of the performance of the electrical network by the integration of FACTS devices.- Secure and Scalable Framework for Real-Time Net Metering in Smart Grids.- Smart Monitoring of Marine Microgrid Connected Seawater Desalination Station to Supply Shipboard and Airport.- Independent Control with MTPA-DTC of Five-leg inverter-dual IPMSM motors powertrain used in Vehicle propulsion system.- Enhanced Direct Torque Control of PMSM Drives for Electric Traction Systems: A Comparative Study Between Classical DTC and a Hybrid Fuzzy Logic--SVM Approach.- Fuzzy Logic Duty-Cycle Predictive Voltage Vector Modulation Mechanism For PMSM Drive.- Direct Torque Control (DTC) of a Synchronous Drive Using a Three-Level NPC Inverter in an Electric Traction Application.- A Myoelectric-Controlled 3D-Printed Prosthetic Arm: Design and Implementation.
