Analysis for Non-Residential Short-Term Load Forecasting Using Machine Learning and Statistical Methods with Financial Impact on the Power Market

Analysis for Non-Residential Short-Term Load Forecasting Using Machine Learning and Statistical Methods with Financial Impact on the Power Market

Short-term load forecasting predetermines how power systems operate because electricity production needs to sustain demand at all times and costs. Most load forecasts for the non-residential consumers are empirically done either by a customer’s employee or supplier personnel based on experience and...

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Autores principales: Stefan Ungureanu, Vasile Topa, Andrei Cristinel Cziker
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
load forecasting
machine learning
power market
forecast evaluation
Technology
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Acceso en línea:https://doaj.org/article/4cfdffaf2ee441729ebd530adcbd8804
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https://doaj.org/article/4cfdffaf2ee441729ebd530adcbd8804

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