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Core Concepts and Methods in Load Forecasting

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...

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Guardat en:
Autors principals: Haben, Stephen, Voss, Marcus, Holderbaum, William
Format: Online
Idioma:anglès
Publicat: Springer Nature 2023
Matèries:
Load forecasting
Probabilistic forecasting
Smart grid applications
Distribution networks
Low voltage
Smart meter
Demand management
Time series analysis
Time series forecasting
Smart Storage
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
Accés en línia:ONIX_20230516_9783031278525_31
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Sumari: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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