Short-Term Load Forecasts Using LSTM Networks
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Elsevier BV
Reference11 articles.
1. A. G. Abdullah, et al. Analysis on anomalous short term load forecasting using two different approaches. International Conference on Science in Information Technology (ICSITech). Bandung, Indonesia, January 2018.
2. I. P. Panapakidis, et al. Combining wavelet transform and support vector regression model for day-ahead peak load forecasting in the Greek power system. IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). Milan, Italy, July 2017.
3. P. Ray, S. Sen, A. K. Barisal. Hybrid Methodology for Short-Term Load Forecasting. IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). Mumbai, India, December 2015.
4. A. Abdoos, M. Hemmati, A. A. Abdoos. Short term load forecasting using a hybrid intelligent method. Knowledge-Based Systems. March 2015.
5. X Chen, L. Wei, J. Xu. House Price Prediction Using LSTM. Computing Research Repository (CoRR). abs/1709.08432, September 2017.
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