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(2005) 05/00167 Forecasting daily urban electric load profiles using artificial neural networks. Fuel and Energy Abstracts, 46 (1). 24pp. doi:10.1016/s0140-6701(05)80168-7

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Reference TypeJournal (article/letter/editorial)
Title05/00167 Forecasting daily urban electric load profiles using artificial neural networks
JournalFuel and Energy Abstracts
Year2005 (January)Volume46
Issue1
PublisherElsevier BV
DOIdoi:10.1016/s0140-6701(05)80168-7Search in ResearchGate
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Mindat Ref. ID7544114Long-form Identifiermindat:1:5:7544114:8
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Full Reference(2005) 05/00167 Forecasting daily urban electric load profiles using artificial neural networks. Fuel and Energy Abstracts, 46 (1). 24pp. doi:10.1016/s0140-6701(05)80168-7
Plain Text(2005) 05/00167 Forecasting daily urban electric load profiles using artificial neural networks. Fuel and Energy Abstracts, 46 (1). 24pp. doi:10.1016/s0140-6701(05)80168-7
In(2005, January) Fuel and Energy Abstracts Vol. 46 (1) Elsevier BV

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(2005) 05/00240 Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data. Fuel and Energy Abstracts, 46 (1). 33pp. doi:10.1016/s0140-6701(05)80241-3
(2005) 05/00450 Correlation of air pollution and meteorological data using neural networks. Fuel and Energy Abstracts, 46 (1). 60pp. doi:10.1016/s0140-6701(05)80451-5
(2005) 05/01591 Novel approach considering load-relative factorsin short-term load forecasting. Fuel and Energy Abstracts, 46 (4). 237pp. doi:10.1016/s0140-6701(05)81598-x
 
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