id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cet-3924	Chang, X.; Li, B.X.	Power Load Forecasting based on the Parallel Chaos Algorithm	2016	6	.pdf	application/pdf	2981	170	66	References Akhmet M., Akhmetova Z., Fen M.O., 2014, Chaos in economic models with exogenous shocks, Journal of Economic Behavior & Organization, 106: 95-108, DOI: 10.1016/j.jebo.2014.06.008 El-Shorbagy M.A., Mousa A.A., Nasr S.M., 2016, A chaos-based evolutionary algorithm for general nonlinear programming problems, Chaos, Solitons & Fractals, 2016, 85: 8-21, DOI: 10.1016/j.chaos.2016.01.007 Farshidianfar A., Saghafi A., 2014, Identification and control of chaos in nonlinear gear dynamic systems using Melnikov analysis,Physics Letters A, 378: 3457-3463, DOI: 10.1016/j.physleta.2014.09.060 He Y.X., Zhang J.X., Xu Y., Gao Y., Xia T., He H.Y, 2015, Forecasting the urban power load in China based on the risk analysis of land-use change and load density, International Journal of Electrical Power & Energy Systems, 73: 71-79, DOI: 10.1016/j.ijepes.2015.03.018 Li S., Goel L., Wang P., 2016, An ensemble approach for short-term load forecasting by extreme learning machine, Applied Energy, 170: 22-29, DOI: 10.1016/j.apenergy.2016.02.114 Liang H.T., Kang F.J., 2016, Adaptive chaos parallel clonal selection algorithm for objective optimization in WTA application, Optik - International Journal for Light and Electron Optics, 127: 3459-3466, DOI: 10.1016/j.ijleo.2015.12.122 Malyutina E.I., Shiryaev V.I., 2014, Time Series Forecasting Using Nonlinear Dynamic Methods and Identification of Deterministic Chaos, Procedia Computer Science, 31: 1022-1031, DOI: 10.1016/j.procs.2014.05.355 Martinez-Anido C.B., Botor B., Florita A.R., Draxl C., Lu S.Y., Hamann H.F., Hodge B.M., 2016, The value of day-ahead solar power forecasting improvement, Solar Energy, 2016, 129: 192-203, DOI: 10.1016/j.solener.2016.01.049 Ömer F.E., 2016, Forecasting electricity load by a novel recurrent extreme learning machines approach, International Journal of Electrical Power & Energy Systems, 78: 429-435, DOI: 10.1016/j.ijepes.2015.12.006 Panapakidis L.P., 2016, Clustering based day-ahead and hour-ahead bus load forecasting models, International Journal of Electrical Power & Energy Systems, 80: 171-178, DOI: 10.1016/j.ijepes.2016.01.035 Xiao L.Y., Shao W., Liang T.L., Wang C., 2016, combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting, Applied Energy, 2016, 167: 135-153, DOI: 10.1016/j.apenergy.2016.01.050 360 DOI: 10.3303/CET1651060 Please cite this article as: Chang X., Li B.X., 2016, Power load forecasting based on the parallel chaos algorithm, Chemical Engineering Transactions, 51, 355-360 DOI:10.3303/CET1651060 355 2.	cache/cet-3924.pdf	txt/cet-3924.txt