Open AccessLong Term Electricity Forecast: A Systematic Review
Author(s) -
Gheisa Roberta Telles Esteves,
Bruno Quaresma Bastos,
Fernando CYRINO,
Rodrigo Flora Calili,
Reinaldo Castro Souza
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.041
Subject(s) - electricity , computer science , scarcity , term (time) , economic shortage , construct (python library) , government (linguistics) , energy (signal processing) , operations research , environmental economics , risk analysis (engineering) , management science , economics , business , microeconomics , engineering , physics , quantum mechanics , electrical engineering , linguistics , philosophy , programming language , statistics , mathematics
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
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