SYSTEMATIC LITERATURE REVIEW (SLR) OF MATHEMATICAL MODELS FOR ELECTRICTY DEMAND FORECASTING
DOI:
https://doi.org/10.47820/recima21.v3i10.2031Keywords:
Mathematical model, Electricity demand forecast, Electricity demandAbstract
Electricity is a basic input and socially excludes those who have no access to it. It promotes the development of a nation and, therefore, it is crucial to forecast the demand to support decision-making on the planning and implementation of the electrical infrastructure in a region. This study presents mathematical proposals and computing tools for estimating energy consumption increase. The objective is to conduct a systematic literature review of scientific studies on mathematical models that simulate energy demand forecasts. The systematic review search action plan consisted of three stages: input, processing and output. We used a protocol with strings and inclusion-exclusion criteria as a filter of publications in the databases. The filtered publications were processed according to criteria set per topic and objective in two stages: selection and extraction using the StArt software. By using Boolean and no filter search expressions, we obtained 982 papers – 785 in Scopus and 197 in Web of Science. By applying the protocol to these databases, 285 publications were filtered. According to the qualification criteria, 71 publications were filtered in the selection stage. In the extraction stage, using the same criteria for the previous stage, 20 publications were selected out of 71. Finally, we prepared a chart containing the contributions from each of these 20 papers with the research topic. The results can be used by academic and public policy researchers in the electricity sector, as well as electricity generation, transmission and distribution companies.
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