Forecasting Solar Energy Generation and Load Consumption - A Method to select the forecasting model based on data type
作者： M Lakshmi Nambiar , Krishna Chandran K S , V Geethalekshmy , Akshay Mohan
DOI: 10.1109/ICICICT46008.2019.8993304
关键词:
摘要: In this study load consumption and solar energy generation data are used to create a model for forecasting. Different techniques like statistical models, machine deep learning algorithms in study. The performance is evaluated by Root Mean Square Error matrix
sci-hub.se 参考文章(17)
Matthew Zeiler, Rob Fergus, Li Wan, Yann Le Cun, Sixin Zhang, Regularization of Neural Networks using DropConnect international conference on machine learning. pp. 1058- 1066 ,(2013)
Craig Howard Miller, Optimized energy management system ,(2005)
Hui Jiang, Wenwu He, Grey relational grade in local support vector regression for financial time series prediction Expert Systems With Applications. ,vol. 39, pp. 2256- 2262 ,(2012) , 10.1016/J.ESWA.2011.07.100
Marc Beaudin, Hamidreza Zareipour, Anthony Schellenberglabe, William Rosehart, Energy storage for mitigating the variability of renewable electricity sources: An updated review Energy for Sustainable Development. ,vol. 14, pp. 302- 314 ,(2010) , 10.1016/J.ESD.2010.09.007
CLAYTON M. CHRISTENSEN, JOSEPH L. BOWER, CUSTOMER POWER, STRATEGIC INVESTMENT, AND THE FAILURE OF LEADING FIRMS Strategic Management Journal. ,vol. 17, pp. 197- 218 ,(1996) , 10.1002/(SICI)1097-0266(199603)17:3<197::AID-SMJ804>3.0.CO;2-U
K. Hipel, Geophysical model discrimination using the Akaike information criterion IEEE Transactions on Automatic Control. ,vol. 26, pp. 358- 378 ,(1981) , 10.1109/TAC.1981.1102597
CJ Willmott, K Matsuura, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance Climate Research. ,vol. 30, pp. 79- 82 ,(2005) , 10.3354/CR030079
Yacine Chakhchoukh, Patrick Panciatici, Lamine Mili, Electric Load Forecasting Based on Statistical Robust Methods IEEE Transactions on Power Systems. ,vol. 26, pp. 982- 991 ,(2011) , 10.1109/TPWRS.2010.2080325
G.-B. Huang, P. Saratchandran, N. Sundararajan, An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks systems man and cybernetics. ,vol. 34, pp. 2284- 2292 ,(2004) , 10.1109/TSMCB.2004.834428
J.M. Carrasco, L.G. Franquelo, J.T. Bialasiewicz, E. Galvan, R.C. PortilloGuisado, M.A.M. Prats, J.I. Leon, N. Moreno-Alfonso, Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey IEEE Transactions on Industrial Electronics. ,vol. 53, pp. 1002- 1016 ,(2006) , 10.1109/TIE.2006.878356