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On Short-Term Load Forecasting Using Machine Learning Techniques
Language: en
Pages: 0
Authors: Behnam Farsi
Categories:
Type: BOOK - Published: 2021 - Publisher:

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Since electricity plays a crucial role in industrial infrastructures of countries, power companies are trying to monitor and control infrastructures to improve
Short-Term Load Forecasting using Machine Learning Methods
Language: en
Pages: 218
Authors: Sylwia Henselmeyer
Categories: Science
Type: BOOK - Published: 2024-10-08 - Publisher: Logos Verlag Berlin GmbH

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Maintaining the balance between generation and consumption is at the heart of electricity grid operation. A disruption to this balance can lead to grid overload
Short-Term Load Forecasting by Artificial Intelligent Technologies
Language: en
Pages: 445
Authors: Wei-Chiang Hong
Categories: Computers
Type: BOOK - Published: 2019-01-29 - Publisher: MDPI

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This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies
Forecasting and Assessing Risk of Individual Electricity Peaks
Language: en
Pages: 108
Authors: Maria Jacob
Categories: Mathematics
Type: BOOK - Published: 2019-09-25 - Publisher: Springer Nature

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The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cro
Recurrent Neural Networks for Short-Term Load Forecasting
Language: en
Pages: 74
Authors: Filippo Maria Bianchi
Categories: Computers
Type: BOOK - Published: 2017-11-09 - Publisher: Springer

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The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both serv