Electronic Resource

Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks

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This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.

From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital.


This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization

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Availability

No copy data

Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2023

Collation

XV, 331

Language

ISBN/ISSN

978-3-031-27852-5

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Energy Systems
Energy Storage
Probability Theory and Stochastic Processes
Neurosciences,
Control, Robotics, Mechatronics

Specific Detail Info

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Statement of Responsibility

Stephen Haben , Marcus Voss , William Holderbaum

Other Information

Cataloger

ock

Source

https://link.springer.com/book/10.1007/978-3-031-27852-5

Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-27852-5

Journal Volume

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Journal Issue

-

Subtitle

-

Parallel Title

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