Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison

Author:

Carpenter Joseph,Woodbury Keith A.,O'Neill Zheng

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference58 articles.

1. January Monthly Energy Review. U.S. Energy Information Administration; 2017.

2. Better Buildings Better Plants. U.S. Department of Energy; 2015.

3. House U. Committee on appropriations. Energy and Water Development Appropriations Bill, 2013 (to Accompany HR 5325) Together with Additional Views, in 112th Congress. 2d Session. Report; 2013.

4. Prediction of building energy consumption by using artificial neural networks;Ekici;Adv Eng Software,2009

5. The role of data sample size and dimensionality in neural network based forecasting of building heating related variables;Macas;Energy Build,2016

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