Prediksi Konsumsi Listrik Bangunan Menggunakan Metode Moving Average Dan Linier Regression
Abstract
prediksi menggunakan metode Moving Average (MA) lebih baik dibandingkan menggunakan metode Linier Regression.
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Tenaga, S. 2012. National Energy Balance. Suruhanjaya Tenaga (Energy Commission): Putrajaya, Malaysia.
Ben-Nakhi AF, Mahmoud MA. 2004, Cooling Load Prediction For Building Using General Regression Neural Networks. Energy Conversion and Management, 45 (13-14): 2127-41.
Wong SL, Wan KKW, Lam TNT. 2010, Artificial Neural Networks For Energy Analysis Of Office Building With Daylighting. Applied Energy; 87 (2):551-7.
Aydinalp M, Urgusal VI, Fung AS. 2002, Modeling of the Appliance, Lighting, And Space Cooling Energy Consumption In The Residential Sector Using Neural Networks. Applied Energy; 71 (2): 87-110.
Languang Z., Jing H., Jinxiang P., and Fengzhong Z., 2012, Electrical Energy Demand Forecasting With Grnn For Energy Saving Strategy, Applied Mechanics and Materials vols. 198-199, p. 639-643.
Victor M., Gareth A. Taylor, and Arthur E., 2014, A Novel Econometrics Model For Peak Demand Forecasting, IEEE.
Kang J., Hong S., and Jian C., 2011, Forecasting Building Energy Consumption Using Neural Networks And Hybrid NeuroFuzzy System: A comparative study, Energy and Buildings 43, p. 2893-2899.
Ahmad S. A., Muhammad Y. H., and Md. Shah M., 2012, Application of Hybrid Gmdh And Least Square Support Vector Machine In Energy Consumption Forecasting, IEEE, International Conference on Power and Energy (PECon).
Arindrajit Pal, Jyoti Prakash Singh, Paramartha Dutta, 2013, The Path Length Prediction of MANET Using Moving Average Model, Procedia Technology, Volume 10, Pages 882-889.
Shalabh, 2013, A Revisit to Efficient Forecasting In Linear Regression Models, Journal of Multivariate Analysis, Volume 114, February, Pages 161-170.
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