Short-term load forecasting using information obtained from low voltage load profiles

Sousa, João; Pires Neves, Luís; Humberto M.M. Jorge

http://hdl.handle.net/10400.8/13181

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Short-term load forecasting using information obtained from low voltage load profiles.pdf	Recent researches in load forecasting are quite often based on the use of neural networks in order to predict a specific variable (maximum demand, active electric power or hourly consumption) using past values of the same variable and other exogenous factors proved to influence the value being predicted. This work aims to explore different input patterns in neural networks incorporating information derived from load profiles of different consumers' classes.	189.99 KB	Adobe PDF	Download

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Authors

Sousa, João

Pires Neves, Luís

Humberto M.M. Jorge

Abstract(s)

Recent researches in load forecasting are quite often based on the use of neural networks in order to predict a specific variable (maximum demand, active electric power or hourly consumption) using past values of the same variable and other exogenous factors proved to influence the value being predicted. This work aims to explore different input patterns in neural networks incorporating information derived from load profiles of different consumers' classes.

Description

Article number 4915229, 2nd International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2009, 18 March 2009 through 20 March 2009 - Code 77128

Keywords

Load forecasting Low voltage Neural networks Technology management Autocorrelation Weather forecasting Artificial neural networks Predictive models Computer networks Research and development

URI

http://hdl.handle.net/10400.8/13181

Citation

J. M. C. Sousa, L. M. P. Neves and H. M. M. Jorge, "Short-term load forecasting using information obtained from low voltage load profiles," 2009 International Conference on Power Engineering, Energy and Electrical Drives, Lisbon, Portugal, 2009, pp. 655-660, doi: https://doi.org/10.1109/POWERENG.2009.4915229.