Machine Learning for Energy Systems

ISBN 10: 3039433822 / ISBN 13: 9783039433827

Published by Mdpi AG, 2020

About this Item

New.

Seller Inventory # ERICA80030394338226

Bibliographic Details

• Title: Machine Learning for Energy Systems
• Publisher: Mdpi AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039433822
• ISBN 13: 9783039433827
• Binding: hardcover
• Condition: New
• Book Type: book

About this title

Synopsis

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.