Price loading...

AI for Power Electronics and Renewable Energy Systems (Energy Engineering)

AI & Machine Learning

Price data last checked 103 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems. Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot. This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines. Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.

Product Specifications

Format: hardcover
ASIN: 1839537744
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 July 2024
Listed Since: 06 March 2024

Barcode

No barcode data available

AI for Power Electronics and Renewable Energy Systems (Energy Engineering)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence Techniques in Power Systems Operations and Analysis (Advances in Computational Collective Intelligence)

Artificial Intelligence-based Smart Power Systems

Artificial Intelligence for Power Electronics

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Artificial Intelligence in Renewable Energy Systems: Empowering a Sustainable Future, Unleashing the Power of Smart Technology

Introduction to AI Techniques for Renewable Energy System

AI and IOT in Renewable Energy (Studies in Infrastructure and Control)

Wiley-IEEE Press Power Electronics in Renewable Energy Systems

Intelligent Renewable Energy Systems: Modelling and Control (Green Energy and Technology)

AI and IOT in Renewable Energy (Studies in Infrastructure and Control)

Electric Renewable Energy Systems

Renewable and Efficient Electric Power Systems

Control of Power Inverters in Renewable Energy and Smart Grid Integration (IEEE Press)

Power Quality in Power Systems, Electrical Machines, and Power-Electronic Drives

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Renewable Energy for Sustainable Growth Assessment

Industrial Power Systems with Distributed and Embedded Generation (Energy Engineering)

Smart Systems for Industrial Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)

Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management: 46 (Learning and Analytics in Intelligent Systems, 46)

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

Large Scale Grid Integration of Renewable Energy Sources: Solutions and technologies (Energy Engineering)

Intelligent Automatic Generation Control

Power System Protection with Artificial Intelligence Applications

Power System Strength: Evaluation methods, best practice, case studies, and applications (Energy Engineering)