A review and analysis of regression and machine learning models on commercial building electricity load forecasting-Reference-Cited by-同舟云学术

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A review and analysis of regression and machine learning models on commercial building electricity load forecasting

Published:2017-06 Issue: Volume:73 Page:1104-1122
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Yildiz B.,Bilbao J.I.,Sproul A.B.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference68 articles.

1. International Energy Agency. Electricity Information. Paris; 2012.

2. Electric power monthly: with data for January 2015;EIA,2015

3. Pitt Sherry. Final report : quantitative assessment of energy savings from building energy efficiency; 2013.

4. Unlocking energy efficiency in the U.S. economy;Granade;McKinsey Glob Energy Mater,2009

5. Lister M Scaling the peaks : demand management in network infrastructure planning key questions for the stage 3 review; 2011.

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