Two-Stage Artificial Neural Network Model for Short-Term Load Forecasting
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference8 articles.
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2. Juberias, G., Yunta, R., Moreno, J. G. & Mendivil, C., 1999. A new ARIMA model for hourly load forecasting. New Orleans, IEEE Transmission and Distribution Conference, pp. 314-319.
3. Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems;Kim;IEEE Transactions on Power Systems,1995
4. Senjyu, T., Higa, S. & Uezato, K., 1998. Future load curve shaping based on similarity using fuzzy logic approach. IEE Proceedings - Generation, Transmission and Distribution, 145(4), pp. 375-380.
5. Singh, A. K., Khatoon, S., Muazzam, M. & Chaturvedi, D. K., 2012. Load forecasting techniques and methodologies: A review. 2nd IEEE International Conference on Control and Embedded Systems (ICPCES), pp. 1-10.
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