Performance Analysis of Demand Data Modification Mechanism for Power Balancing Control
Author:
Affiliation:
1. Graduate School of Information Science, Nara Institute of Science and Technology
2. Graduate School of Informatics, Kyoto University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E98.A/7/E98.A_1562/_pdf
Reference7 articles.
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2. [2] J.W. Taylor, L.M. de Menezes, and P.E. McSharry, “A comparison of univariate methods for forecasting electricity demand up to a day ahead,” Int. J. Forecasting., vol.22, no.1, pp.1-16, 2006.
3. [3] H. Hahn, S. Meyer-Nieberg, and S. Pickl, “Electric load forecasting methods: Tools for decision making,” Eur. J. Oper. Res., vol.199, no.3, pp.902-907, 2009.
4. [4] S. Tzafestas and E. Tzafestas, “Computational intelligence techniques for short-term electric load forecasting,” J. Intelligent and Robotic Systems, vol.31, no.1-3, pp.7-68, 2001.
5. [5] S. Koda, T. Kaneshima, T. Suzuki, and T. Sawa, “Electric power supply and demand control system, electric power supply and demand control method and recording medium,” Japan Patent Kokai 2006-288151, 2006.
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