Long Term Electricity Forecast: A Systematic Review

• Published in: Procedia computer science Vol. 55; pp. 549 - 558
• Main Authors: Esteves, Gheisa R. T, Bastos, Bruno Q., Cyrino, Fernando L., Calili, Rodrigo F., Souza, Reinaldo C.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2015
• Subjects: Demand forecasting; electricity demand forecasting; Long-term forecasts; Long-term forecasts; Demand forecasting; electricity demand forecasting
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2015.07.041

Energy planning and management have always represented a great challenge for most countries all over the world. Since the beginning of industrial revolution, one of the main bottlenecks to economy growth was energy availability, not just due to electricity shortage but also to the scarcity of other energy resources. So the necessity to construct methodologies and procedures to predict electricity needs became prominent and a major issue both for academics, government and electricity companies. Based on the methodologies and framework constructed, it is possible to define what actions should be taken to fulfill the electricity demanded by the society. The objective of the article represents the first step towards understanding and analyzing the state of art of models applied to electricity long-term forecasts, which is to define and apply a concise methodology to make a systematic review on academic articles from indexed journals.