Appraisal of soft computing methods for short term consumers' heat load prediction in district heating systems
暂无分享,去创建一个
Dragan Mitić | Shahaboddin Shamshirband | Dalibor Petković | Muhammad Arif | Mohammad Hossein Anisi | Miomir Raos | Khubaib Amjad Alam | Milan Protić | Muhammad Arif | Shahaboddin Shamshirband | M. Protić | Miomir Raos | M. Anisi | D. Mitic | D. Petković
[1] Shie-Yui Liong,et al. Rainfall and runoff forecasting with SSA-SVM approach , 2001 .
[2] Erik Dotzauer,et al. Simple model for prediction of loads in district-heating systems , 2002 .
[3] Sven Werner. District Heating and Cooling , 2013 .
[4] Peter Palensky,et al. Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.
[5] Pei-Chann Chang,et al. Iterated time series prediction with multiple support vector regression models , 2013, Neurocomputing.
[6] orlov . . Nielsen Henrik Aalborg,et al. Predicting the Heat Consumption in District Heating Systems using Meteorological Forecasts , 2000 .
[7] H. Madsen,et al. Modelling the heat consumption in district heating systems using a grey-box approach , 2006 .
[8] K. Sipilä,et al. Demand side management in district heating systems , 2000 .
[9] Enrico Zio,et al. A dynamic particle filter-support vector regression method for reliability prediction , 2013, Reliab. Eng. Syst. Saf..
[10] Michael R. Lyu,et al. Localized support vector regression for time series prediction , 2009, Neurocomputing.
[11] Wei-Chiang Hong,et al. Rainfall forecasting by technological machine learning models , 2008, Appl. Math. Comput..
[12] Sven Werner,et al. The heat load in district heating systems , 1984 .
[13] Fredrik Wernstedt,et al. Multi-Agent Systems for Distributed Control of District Heating Systems , 2005 .