Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings

Author:

Skomski Elliott,Lee Joon-Yong,Kim Woohyun,Chandan Vikas,Katipamula Srinivas,Hutchinson Brian

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference67 articles.

1. R.G. Smith, The contract net protocol: High-level communication and control in a distributed problem solver, IEEE Transactions on Computers (12) (1980) 1104–1113.

2. A. Gasparin, S. Lukovic, C. Alippi, Deep learning for time series forecasting: The electric load case, CoRR arXiv:1907.09207, 2019.

3. Building energy use prediction and system identification using recurrent neural networks;Kreider;Journal of Solar Energy Engineering,1995

4. Machine learning: trends, perspectives, and prospects;Jordan;Science,2015

5. C.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.

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