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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Plný název: Machine Learning for Energy Systems
• Autor: Denis Sidorov
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 272
• EAN: 9783039433827
• ISBN: 3039433822
• ID: 33620849
• Nakladatelství: MDPI AG
• Hmotnost: 785 g
• Rozměry: 244 × 170 × 22 mm
• Datum vydání: 08. December 2020

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