Abstract
In this paper a neural system for daily forecasting of electric power load in Poland is presented. Basing on the simplest neural architecture - a multi-layer perceptron - more and more complex system is built step by step. A committee rule-aided hierarchical system consisting of modular ANNs is obtained as a result. The forecasting mean absolute percentage error (MAPE) of the most effective system is about 1.1%.
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Abdel-Aal, R.E., Al-Garni, A.Z.: Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis. Fuel and Energy Abstracts 38, 452–452 (1997)
Abdel-Aal, R.E., Al-Garni, A.Z., Al-Nassar, Y.N.: Modelling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks. Energy 22, 911–921 (1997)
Abdel-Aal, R.E.: Short-term hourly load forecasting using abductive networks. IEEE Transactions on Power Systems 19, 164–173 (2004)
Abdel-Aal, R.E.: Improving electric load forecasts using network committees. Electric Power Systems Research 74, 83–94 (2005)
Abdel-Aal, R.E.: Modeling and forecasting electric daily peak loads using abductive networks. International Journal of Electrical Power and Energy Systems 28, 133–141 (2006)
Bartkiewicz, W.: Confidence intervals prediction for the short-term electrical load neural forecasting models. Elektrotechnik und Informationstechnik 117, 8–12 (2000)
Bielecki, A., Ba̧k, M.: Methodology of Neural Systems Development. In: Cader, A., Rutkowski, L., Tadeusiewicz, R., Żurada, J. (eds.) Artificial Intelligence and Soft Computing. Challanging Problems of Science - Computer Science, pp. 1–7. Academic Publishing House EXIT, Warszawa (2006)
Breiman, L.: Bagging predictors. Machine Learning 24, 123–140 (1996)
Cottrell, M., Girard, B., Girard, Y., Muller, C., Rousset, P.: Daily electrical power curve: classification and forecasting using a Kohonen map. In: Sandoval, F., Mira, J. (eds.) IWANN 1995. LNCS, vol. 930, pp. 1107–1113. Springer, Heidelberg (1995)
Djukanowic, M., Babic, B., Sobajic, D.J., Pao, Y.H.: Unsupervised/supervised learning concept for 24-hour load forecasting. IEE Proceedings 4, 311–318 (1993)
Hsu, Y.Y., Ho, K.L.: Fuzzy expert systems: an application to short-term load forecasting. IEE Proceedings 6, 471–477 (1992)
Malko, J.: Certain Forecasting Problems in Electrical Power Engineering (in Polish). Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (1995)
Marciniak, A., Korbicz, J.: Modular neural networks (in Polish). In: Duch, W., Korbicz, J., Rutkowski, L., Tadeusiewicz, R. (eds.) Neural Networks, Biocybernetics and Biomedical Engineering, vol. 6, pp. 135–178. Academic Publishing House EXIT, Warszawa (2000)
Osowski, S.: Neural Networks - an Algorithmic Approach (in Polish). WNT, Warszawa (1996)
Osowski, S.: Neural Networks for Information Processing (in Polish). Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (2000)
Osowski, S., Siwek, K.: Selforganizing neural networks for short term load forecasting in power system. In: Engineering Applications of Neural Networks, pp. 253–256 (1998)
Osowski, S., Siwek, K.: Regularization of neural networks for improved load forecasting in the power system. IEE Proc. Generation, Transmission and Distribution 149, 340–344 (2002)
Osowski, S., Siwek, K., Tran Hoai, L.: Short term load forecasting using neural networks. In: Proc. III Ukrainian-Polish Workshop, Aluszta, Krym, pp. 72–77 (2001)
Park, D.C., El-Sharkawi, M.A., Marks, R.J., Atlas, R.E., Damborg, M.J.: Electric load forecasting using an artificial neural network. IEEE Transactions on Power Systems 6, 442–449 (1991)
Peng, T.M., Hubele, N.F., Karady, G.G.: Advancement in the application of neural networks for short-term load forecasting. IEEE Transactions on Power Systems 7, 250–257 (1992)
Siwek, K.: Load forecasting in an electrical power system using artificial neural networks. PhD Thesis (in Polish), Faculty of Electricity, Warsaw Technical University (2001)
Tresp, V.: Committee Machines. In: Hu, Y.H., Hwang, J.-N. (eds.) Handbook for Neural Network Signal Processing, CRC Press, Boca Raton (2001)
Weron, A., Weron, R.: Stock Market of Energy (in Polish). CIRE, Wrocław (2000)
Zieliński, J.S.: Intelligent Systems in Management - Theory and Practice (in Polish). PWN, Warszawa (2000)
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Ba̧k, M., Bielecki, A. (2007). Neural Systems for Short-Term Forecasting of Electric Power Load. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71629-7_16
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DOI: https://doi.org/10.1007/978-3-540-71629-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71590-0
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