NDLI: Short- Term Electric Load Forecasting Using Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Ramezani, M. Falaghi, H. Haghifam, M.-R. Shahryari, G.A.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Tarbiat Modarres Univ., Tehran (Ramezani, M.; Falaghi, H.; Haghifam, M.-R.)
Abstract	Artificial neural network (ANN) techniques have been recently suggested for short term electric load forecasting by a large number of researchers. This work studies the applicability of this kind of models. The work is performed for a real forecasting application. The proposed models are capable of forecasting the next 24 hour load profile, the next hour load and the next day peak load. The inputs to the ANN models are load profiles and weather information. The ANN load forecasting models are trained on historical data that obtained from a real HV/MV substation in south of Iran. Final results indicate average errors of developed models and prove that these models can be applied to the prediction of load in real case
Starting Page	1525
Ending Page	1528
File Size	2622243
Page Count	4
File Format	PDF
ISBN	142440049X
DOI	10.1109/EURCON.2005.1630255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-21
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load forecasting Neural networks Artificial neural networks Power system modeling Power system security Predictive models Weather forecasting Power system planning Economic forecasting Load modeling Multi-Layer Perceptron (MLP) Neural Networks Short-Term Electric Load Forecasting (STLF) Artificial Neural Networks
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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