Name: Machine Learning for Energy Systems
SKU: 56772880
Price: 2262.00 TWD
Availability: InStock
Author: Sidorov, Denis

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portada Machine Learning for Energy Systems

Type

Physical Book

Publisher

Mdpi AG

Author

Sidorov, Denis

Language

English

Pages

272

Format

Hardcover

Dimensions

24.4x17x2.2 cm

Weight

0.78 kg.

ISBN13

9783039433827

Synopsis "Machine Learning for Energy Systems"

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.

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Machine Learning for Energy Systems - Sidorov, Denis

Synopsis "Machine Learning for Energy Systems"

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