Comparing ELM Against MLP for Electrical Power Prediction in Buildings

Author:

Vergara Gonzalo,Cózar Javier,Romero-González Cristina,Gámez José A.,Soria-Olivas Emilio

Publisher

Springer International Publishing

Reference21 articles.

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2. Bian, X., Xu, Q., Li, B., Xu, L.: Equipment fault forecasting based on a two-level hierarchical model. In: 2007 IEEE International Conference on Automation and Logistics, pp. 2095–2099 (2007)

3. Bishop, C.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc. (2006)

4. Carpinteiro, O., Alves da Silva, A., Feichas, C.: A hierarchical neural model in short-term load forecasting. In: IJCNN (6), pp. 241–248 (2000), http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859403

5. Ekici, B., Aksoy, U.: Prediction of building energy consumption by using artificial neural networks. Advances in Engineering Software 40(5), 356–362 (2009)

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1. Algal Bloom Prediction Using Extreme Learning Machine Models at Artificial Weirs in the Nakdong River, Korea;International Journal of Environmental Research and Public Health;2018-09-21

2. Random extreme learning machines to predict electric load in buildings;Progress in Artificial Intelligence;2016-01-18

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