Abstract
Air-conditioning load forecasting is prerequisite for the optimal control and energy-saving operation of HVAC systems. In particular for those systems that use thermal storage technology, air-conditioning load forecasting will be extremely important and indispensable.
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References
Kawashima, M., Dorgan, C.E., Mitchell, J.W.: Hourly thermal load prediction for the next 24 hours by ARIMA, EWMA, LR, and an artificial neural network. ASHRAE Trans. 101(part1), 186–200 (1995)
MacArthur, J.W., Mathur, A., Zhao, J.: On-line recursive estimation for load profile prediction. ASHRAE Trans. 95(part1), 621–628 (1989)
Deng, J.L.: Introduction to grey system theory. J. Grey Syst. 1(1), 1–24 (1989)
Kawashima, M., Dorgan, C.E.: Optimizing system control with load prediction by neural networks for an ice-storage system. ASHRAE Trans. 102(part1), 1169–1178 (1996)
Kang, H.: Unstable weights in the combination of forecasts. Manage. Sci. 32, 683–695 (1986)
Gupia, S., Wilton, P.: Combination of forecasts: an extension. Manage. Sci. 33, 356–372 (1987)
Schmittlein, D.C.: Combining forecasts: operational adjustments to theoretically optimal rules. Manage. Sci. 36, 1044–1056 (1990)
Bates, J.M., Gr, C.: The Combination of Forecast. Oper. Res. Q. 20, 451–463 (1969)
Granger, C.W.J., Ramanathan, R.: Improved methods of combining forecasts. J Forecast. 3, 197–204 (1984)
Shim, J.P.: Bibliographical research on the analytic hierarchy process (AHP). Socio-Economic Planning Sci. 23, 161–167 (1989)
Elkarni, F., Mustafa, I.: Increasing the utilization of solar energy technologies (SET) in Jordan: analytic hierarchy process. Energy Policy 21, 978–984 (1993)
Saaty, T.L.: Axiomatic foundations of the analytic hierarchy process. Manage. Sci. 32, 841–855 (1986)
Saaty, T.L.: Rank generation, preservation and reversal in the analytic hierarchy process. Decis. Sci. 18, 157–177 (1987)
Saaty, T.L.: Fundamentals of Decision Making and Priority Theory with The Analytic Hierarchy Process. RWS Publications, Pittsburg (2000)
Yao, Y., Lian, Z., Liu, S., Hou, Z.: Hourly cooling load prediction by a combined forecasting model based on analytic hierarchy process. Int. J. Therm. Sci. 43(11), 1107–1118 (2004)
Hush, D.R., Horne, B.G.: Progress in supervised neural networks. IEEE Signal Process. Mag. 10(1), 8–39 (1993)
Bianchini, M., Frasconi, P., Gori, M.: Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks 6(3), 749–756 (1995)
Wasserman, P.D.: Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York (1993)
Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd ed. New Jersey: Prentice Hall (1999)
Dernuth, H., Beale, M.: Matlab Neural Network Toolbox. The Math Works Inc (1992)
Tang, X., Zhou, Z., Shi, Y.: The variable weighted functions of combined forecasting. Comput. Math Appl. 45(4–5), 723–730 (2003)
Yao, Y., Lian, Z., Hou, Z., Liu, W.: An innovative air-conditioning load forecasting model based on RBF neural network and combined residual error correction. Int. J. Refrig 29(4), 528–538 (2006)
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Yao, Y., Yu, Y. (2017). Combined Forecasting Models for Air-Conditioning Load Prediction. In: Modeling and Control in Air-conditioning Systems. Energy and Environment Research in China. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53313-0_7
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DOI: https://doi.org/10.1007/978-3-662-53313-0_7
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