Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review

• Published in: Energies (Basel) Vol. 16; no. 10; p. 4098
• Main Authors: Rodrigues, Filipe, Cardeira, Carlos, Calado, João M. F., Melicio, Rui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Alternative energy sources; artificial intelligence; Carbon; Climate change; Coronaviruses; Cost control; Developing countries; Electric industries; Electricity; Electricity distribution; Emissions; Energy consumption; energy demand; Energy efficiency; Energy industry; Forecasting; Forecasting techniques; Greenhouse gases; Industrialized nations; LDCs; modelling techniques; Population; Renewable resources; residential (household); Statistical methods; STLF; Canada; Pakistan; France; Asia; North America; Portugal

In this paper, a systematic literature review is presented, through a survey of the main digital databases, regarding modelling methods for Short-Term Load Forecasting (STLF) for hourly electricity demand for residential electricity and to realize the performance evolution and impact of Artificial I...