Time series forecasting ensemble

作者: Jorjeta Jetcheva , Mostafa Majidpour

DOI:

关键词:

摘要: A method of forecasting a resource load for consumption at site, e.g., an electrical site. The includes receiving historical data and ambient condition that are time series pertaining to site generating additional from the received data. building best sub-model each multiple forecast intervals. clustering in parallel training portions data, possible sub-models using clustered portions, verifying forecasted loads output against verification determining first subset parameters based upon accuracy loads. intervals ensemble sub-models.

参考文章(22)
Lars Dannecker, Matthias Böehm, Wolfgang Lehner, Gregor Hackenbroich, Partitioning and Multi-core Parallelization of Multi-equation Forecast Models Lecture Notes in Computer Science. pp. 106- 123 ,(2012) , 10.1007/978-3-642-31235-9_7
Jonathan R.M. Hosking, Shivaram Subramanian, Xiaoxuan Zhang, Ramesh Natarajan, Soumyadip Ghosh, System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives ,(2013)
Damir Spisic, Marius I. Danciu, Michael McRoberts, Jing Xu, Jing-Yun Shyr, Fan Li, Generating a predictive model from multiple data sources ,(2011)
Mohammad Ghomi, Mahdi Goodarzi, Mahmood Goodarzi, Peak Load Forecasting of Electric Utilities for West Province of IRAN by Using Neural Network without Weather Information international conference on computer modelling and simulation. pp. 28- 32 ,(2010) , 10.1109/UKSIM.2010.14
S Jafarzadeh, S Fadali, C Y Evrenosoglu, H Livani, Hour-ahead wind power prediction for power systems using Hidden Markov Models and Viterbi Algorithm power and energy society general meeting. pp. 1- 6 ,(2010) , 10.1109/PES.2010.5589844
S. Subbayya, J. G. Jetcheva, Wei-Peng Chen, Model selection criteria for short-term microgrid-scale electricity load forecasts ieee pes innovative smart grid technologies conference. pp. 1- 6 ,(2013) , 10.1109/ISGT.2013.6497802
Fadhilah Abd. Razak, Amir H Hashim, Izham Z Abidin, Mahendran Shitan, Malaysian peak daily load forecasting student conference on research and development. pp. 392- 394 ,(2009) , 10.1109/SCORED.2009.5442993
Matteo De Felice, Xin Yao, Neural networks ensembles for short-term load forecasting 2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG). pp. 1- 8 ,(2011) , 10.1109/CIASG.2011.5953333
E. E. El-Attar, J. Y. Goulermas, Q. H. Wu, Forecasting electric daily peak load based on local prediction power and energy society general meeting. pp. 1- 6 ,(2009) , 10.1109/PES.2009.5275587