Statistical Modeling of Aggregated Electricity Consumption and Distributed Wind Generation in Distribution Systems Using AMR Data
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[1] N. Mortensen,et al. Production of the Finnish Wind Atlas , 2013 .
[2] Xiaofu Xiong,et al. A Statistic-Fuzzy Technique for Clustering Load Curves , 2007, IEEE Transactions on Power Systems.
[3] Subhash Sharma. Applied multivariate techniques , 1995 .
[4] J. Rank. Copulas: From theory to application in Finance , 2006 .
[5] A. McNeil,et al. Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach , 2000 .
[6] Ping Wang,et al. Application of Pattern Recognition and Artificial Neural Network to Load Forecasting in Electric Power System , 2007, Third International Conference on Natural Computation (ICNC 2007).
[7] Andrew Harvey,et al. The econometric analysis of time series , 1991 .
[8] Antti Mutanen,et al. Customer Classification and Load Profiling Method for Distribution Systems , 2011, IEEE Transactions on Power Delivery.
[9] B. Klockl. Multivariate Time Series Models Applied to the Assessment of Energy Storage in Power Systems , 2008, Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems.
[10] Izham Zainal Abidin,et al. Moving holidays' effects on the Malaysian peak daily load , 2010, 2010 IEEE International Conference on Power and Energy.
[11] Liisa Haarla,et al. Statistical analysis of large scale wind power generation using Monte Carlo Simulations , 2014, 2014 Power Systems Computation Conference.
[12] Z. Vale,et al. An electric energy consumer characterization framework based on data mining techniques , 2005, IEEE Transactions on Power Systems.
[13] Alagan Anpalagan,et al. Improved short-term load forecasting using bagged neural networks , 2015 .
[14] D. Rubinfeld,et al. Econometric models and economic forecasts , 2002 .
[15] Matti Lehtonen,et al. Clustering of Connection Points and Load Modeling in Distribution Systems , 2013, IEEE Transactions on Power Systems.
[16] G. Chicco,et al. Comparisons among clustering techniques for electricity customer classification , 2006, IEEE Transactions on Power Systems.
[17] D. Infield,et al. Application of Auto-Regressive Models to U.K. Wind Speed Data for Power System Impact Studies , 2012, IEEE Transactions on Sustainable Energy.
[18] G. Papaefthymiou,et al. Multivariate time series models for studies on stochastic generators in power systems , 2010 .
[19] Liisa Haarla,et al. Assessment of large scale wind power generation with new generation locations without measurement data , 2015 .
[20] Matti Lehtonen,et al. Impact of Node Specific Load Growth and Microgrids on Distribution Network Planning , 2014 .
[21] B. De Moor,et al. Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series , 2005, IEEE Transactions on Power Systems.
[22] Hsin-I Wu,et al. A model comparison for daylength as a function of latitude and day of year , 1995 .
[23] A. Prudenzi,et al. Meteorological Parameters Influence for Medium Term Load Forecasting , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.
[24] C. S. Chen,et al. Temperature Effect to Distribution System Load Profiles and Feeder Losses , 2001, IEEE Power Engineering Review.
[25] Dominic Maratukulam,et al. ANNSTLF-a neural-network-based electric load forecasting system , 1997, IEEE Trans. Neural Networks.