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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

The Role of Intelligent Computing in Load Forecasting for Distributed Energy System

verfasst von : Pengwei Su, Yan Wang, Jun Zhao, Shuai Deng, Ligai Kang, Zelin Li, Yu Jin

Erschienen in: Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Verlag: Springer Singapore

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Abstract

The integration of renewable energy into the distributed energy system has challenged the operation optimization of the distributed energy system. In addition, application of new technologies and diversified characteristics of the demand side also impose a great influence on the distributed energy system. Through a literature review, the load forecasting technology, which is a key technology inside the optimization framework of distributed energy system, is reviewed and analyzed from two aspects, fundamental research and application research. The study presented in this paper analyses the research methods and research status of load forecasting, analyses the key role of intelligent computing in load forecasting in distributed energy system, and realizes and explores the application of load forecasting in practical energy system.

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Vorheriges Kapitel Research on the Bio-electromagnetic Compatibility of Artificial Anal Sphincter Based on Transcutaneous Energy Transfer
Nächstes Kapitel Intelligent Control Methods of Demand Side Management in Integrated Energy System: Literature Review and Case Study
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Metadaten
Titel
The Role of Intelligent Computing in Load Forecasting for Distributed Energy System
verfasst von
Pengwei Su
Yan Wang
Jun Zhao
Shuai Deng
Ligai Kang
Zelin Li
Yu Jin
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Print ISBN: 978-981-10-6363-3

Electronic ISBN: 978-981-10-6364-0

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-6364-0_55

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