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Forecasting electrical consumption by integration of neural network, time series and ANOVA

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Publication:884653
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DOI10.1016/j.amc.2006.08.094zbMath1222.78030OpenAlexW2057160778MaRDI QIDQ884653

S. Sohrabkhani, Seyed Farid Ghaderi, Ali Azadeh

Publication date: 6 June 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.08.094


zbMATH Keywords

time seriesforecastinganalysis of varianceartificial neural networkpreprocessingelectricity consumption


Mathematics Subject Classification ID

Technical applications of optics and electromagnetic theory (78A55)


Related Items (4)

Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting ⋮ A new class of nonmonotone conjugate gradient training algorithms ⋮ Determining sources of relative inefficiency in heterogeneous samples: methodology using cluster analysis, DEA and neural networks ⋮ Periodically correlated models for short-term electricity load forecasting



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