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...

Full description

Bibliographic Details
Main Authors: Stefan Ungureanu, Vasile Topa, Andrei Cristinel Cziker
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
load forecasting
machine learning
power market
forecast evaluation
Online Access:https://www.mdpi.com/1996-1073/14/21/6966

Internet

https://www.mdpi.com/1996-1073/14/21/6966

Similar Items