Short Term Electricity Load Forecasting with a Nonlinear Autoregressive Neural Network with Exogenous Variables (NarxNet)
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-03317-0_22
Reference44 articles.
1. Cao, X., Dong, S., Wu, Z., Jing, Y. (2015) A data-driven hybrid optimization model for short-term residential load forecasting. In 2015 International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), pp. 283–287. IEEE.
2. Chao, G., Jing-chun, Z., Yan-bin, S., & Li-ying, S. (2010, June). Application of dynamic recurrent neural network in power system short-term load forecasting. In 2010 International Conference on Computing, Control and Industrial Engineering (CCIE), Vol. 1, pp. 378–381. IEEE.
3. Chaturvedi, D. K., Sinha, A. P., & Malik, O. P. (2015). Short-term load forecast using fuzzy logic and wavelet transform integrated generalized neural network. Electrical Power and Energy Systems, 67, 230–237.
4. Che, J. X., & Wang, J. Z. (2014). Short-term load forecasting using a kernel based support vector regression combination model. Applied Energy, 132, 602–609.
5. Chitsaz, H., Shaker, H., Zareipour, H., Wood, D., & Amjady, N. (2015). Short-term electricity load forecasting of buildings in microgrids. Energy and Buildings, 99, 50–60.
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