Artificial Intelligence of Things for Smart Green Energy Management (Studies in Systems, Decision and Control, 446) Sarah El Himer – Ebook Instant Download/Delivery ISBN(s): 9783031048500, 3031048504, 9783031048517, 3031048512
Product details:
- ISBN 10: 3031048512
- ISBN 13: 9783031048517
- Author: Sarah El Himer
This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.
Table contents:
Artificial Intelligence of Things (AIoT) for Renewable Energies Systems
Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity
Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine
Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network
Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application
Machine Learning-Based Maximum Power Point Tracking Technique for Concentrated PV/TEG System Under Non-uniform Environmental Conditions
Two-Dimensional Nanomaterials for Solar Cell Technology
Improving Control for an Induction Machine Using Artificial Intelligence
Evaluation of the Recommended Algorithms in the Internet of Things
Exposing Applications of IoT in Green Computing
IoT Safe Area: An Innovative Approach for a Smart Decentralized and Hybrid Decision Support Process for Industrial Warehousing
Application of Artificial Intelligence (AI) in Supply Chain: An Overview
Acorn Waste Valorization as Reinforcement in Polystyrene Composite: A Comparative Study
Design and Analysis of a Smart Anti-lock Braking System
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