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Decision support in power systems based on load forecasting models and influence analysis of climatic and socio-economic factors

Authors: Armando Tupiassú; Ubiratan Holanda Bezerra; Vanja Gato; Claudio Rocha; Liviane Rego; Ádamo Lima de Santana; João C. W. A. Costa; +1 Authors
Armando Tupiassú; Ubiratan Holanda Bezerra; Vanja Gato; Claudio Rocha; Liviane Rego; Ádamo Lima de Santana; João C. W. A. Costa; Carlos Renato Lisboa Francês;
doi: 10.1117/12.686433
Abstract
This paper presents a decision support system for power load forecast and the learning of influence patterns of the socio-economic and climatic factors on the power consumption based on mathematical and computational intelligenge methods, with the purpose of defining the future power consumption of a given region, as well as to provide a mean for the analysis of correlations between the power consumption and these factors. Here we use a linear modelo of regression for the forecasting, also presenting a comparative analysis with neural networks, to prove its efectiveness; and also Bayesian networks for the learning of causal relationships from the data.
Related Organizations
- Amazon.com United States
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- University of the Amazon Colombia
- University of the Amazon Colombia
- Universidade Federal do Pará Brazil
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
6
Average
Average
Average