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Improved short-term load forecasting using bagged neural networks

Published:2015-08 Issue: Volume:125 Page:109-115
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Khwaja A.S.,Naeem M.,Anpalagan A.^ORCID,Venetsanopoulos A.,Venkatesh B.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference32 articles.

1. Fuzzy approach for short term load forecasting;Pandian;Electr. Power Syst. Res.,2006

2. Short term load forecasting using multiple linear regression;Amral,2007

3. A survey on electric power demand forecasting: future trends in smart grids, microgrids and smart buildings;Hernandez;IEEE Commun. Surveys Tutor.,2014

4. Efficient building load forecasting;Fernandez,2011

5. Application of regression trees in the analysis of electricity load;Gladysz;Oper. Res. Decis.,2008

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