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An annual load forecasting model based on support vector regression with differential evolution algorithmJIANJUN WANG; LI LI; DONGXIAO NIU et al.Applied energy. 2012, Vol 94, pp 65-70, issn 0306-2619, 6 p.Article

Short-term load forecasting using a kernel-based support vector regression combination modelJINXING CHE; JIANZHOU WANG.Applied energy. 2014, Vol 132, pp 602-609, issn 0306-2619, 8 p.Article

Modeling and prediction of Turkey's electricity consumption using Support Vector RegressionKAVAKLIOGLU, Kadir.Applied energy. 2011, Vol 88, Num 1, pp 368-375, issn 0306-2619, 8 p.Article

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracyJAIN, Rishee K; SMITH, Kevin M; CULLIGAN, Patricia J et al.Applied energy. 2014, Vol 123, pp 168-178, issn 0306-2619, 11 p.Article

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approachKUILIN CHEN; JIE YU.Applied energy. 2014, Vol 113, pp 690-705, issn 0306-2619, 16 p.Article

Development of a stochastic simulation-optimization model for planning electric power systems - A case study of Shanghai, ChinaPIAO, M. J; LI, Y. P; HUANG, G. H et al.Energy conversion and management. 2014, Vol 86, pp 111-124, issn 0196-8904, 14 p.Article

Mass transfer performance of CO2 capture in rotating packed bed: Dimensionless modeling and intelligent predictionBINGTAO ZHAO; YAXIN SU; WENWEN TAO et al.Applied energy. 2014, Vol 136, pp 132-142, issn 0306-2619, 11 p.Article

Short-term load forecasting based on support vector regression and load profilingSOUSA, João C; JORGE, Humberto M; NEVES, Luís P et al.International journal of energy research. 2014, Vol 38, Num 3, pp 350-362, issn 0363-907X, 13 p.Article

Non-linear system identification of the versatile-typed structures by a novel signal processing techniqueJIAN ZHANG; SATO, Tadanobu; IAI, Susumu et al.Earthquake engineering & structural dynamics. 2007, Vol 36, Num 7, pp 909-925, issn 0098-8847, 17 p.Article

Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirsGHOLAMI, Raoof; MORADZADEH, Ali; MALEKI, Shahoo et al.Journal of petroleum science & engineering. 2014, Vol 122, pp 643-656, issn 0920-4105, 14 p.Article

On implicit Lagrangian twin support vector regression by Newton methodBALASUNDARAM, S; GUPTA, Deepak.International journal of computational intelligence systems. 2014, Vol 7, Num 1-6, pp 50-64, 15 p.Article

Development of a soft sensor for a batch distillation column using support vector regression techniquesJAIN, P; RAHMAN, I; KULKARNI, B. D et al.Chemical engineering research & design. 2007, Vol 85, Num 2, pp 283-287, issn 0263-8762, 5 p.Article

Oil-CO2 MMP Determination in Competition of Neural Network, Support Vector Regression, and Committee MachineASOODEH, Mojtaba; GHOLAMI, Amin; BAGHERIPOUR, Parisa et al.Journal of dispersion science and technology. 2014, Vol 35, Num 4-6, pp 564-571, issn 0193-2691, 8 p.Article

Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression modelsBELAYNEH, A; ADAMOWSKI, J; KHALIL, B et al.Journal of hydrology (Amsterdam). 2014, Vol 508, pp 418-429, issn 0022-1694, 12 p.Article

Nonlinear multivariable modeling of locomotive proton exchange membrane fuel cell systemQI LI; WEIRONG CHEN; ZHIXIANG LIU et al.International journal of hydrogen energy. 2014, Vol 39, Num 25, pp 13777-13786, issn 0360-3199, 10 p.Conference Paper

Multi-step-ahead prediction of NOx emissions for a coal-based boilerSMREKAR, J; POTOCNIK, P; SENEGACNIK, A et al.Applied energy. 2013, Vol 106, pp 89-99, issn 0306-2619, 11 p.Article

Daily streamflow forecasting by machine learning methods with weather and climate inputsRASOULI, Kabir; HSIEH, William W; CANNON, Alex J et al.Journal of hydrology (Amsterdam). 2012, Vol 414-15, pp 284-293, issn 0022-1694, 10 p.Article

Modeling and Predicting the Central Magnetic Flux Density of the Superconducting Solenoid Surrounded with Iron Yoke via SVRTANG, J. L; CAI, C. Z; XIAO, T. T et al.Journal of superconductivity and novel magnetism. 2012, Vol 25, Num 6, pp 1747-1751, issn 1557-1939, 5 p.Article

Estimation of heat transfer coefficient in bubble column reactors using support vector regressionGANDHI, Ankit B; JOSHI, Jyeshtharaj B.Chemical engineering journal (1996). 2010, Vol 160, Num 1, pp 302-310, issn 1385-8947, 9 p.Article

Evapotranspiration Modeling Using Linear Genetic Programming TechniqueKISI, Ozgur; GUVEN, Aytac.Journal of irrigation and drainage engineering. 2010, Vol 136, Num 10, pp 715-723, issn 0733-9437, 9 p.Article

The impact on energy consumption of daylight saving clock changesHILL, S. I; DESOBRY, F; GARNSEY, E. W et al.Energy policy. 2010, Vol 38, Num 9, pp 4955-4965, issn 0301-4215, 11 p.Article

A pattern recognition technique for structural identification using observed vibration signals : Linear case studiesJIAN ZHANG; SATO, Tadanobu; IAI, Susumu et al.Engineering structures. 2008, Vol 30, Num 5, pp 1439-1446, issn 0141-0296, 8 p.Article

Real-time probabilistic forecasting of flood stagesCHEN, Shien-Tsung; YU, Pao-Shan.Journal of hydrology (Amsterdam). 2007, Vol 340, Num 1-2, pp 63-77, issn 0022-1694, 15 p.Article

Modeling a PEMFC by a support vector machineZHONG, Zhi-Dan; ZHU, Xin-Jian; CAO, Guang-Yi et al.Journal of power sources. 2006, Vol 160, Num 1, pp 293-298, issn 0378-7753, 6 p.Article

Wind turbine power coefficient estimation by soft computing methodologies: Comparative studySHAMSHIRBAND, Shahaboddin; PETKOVIĆ, Dalibor; SABOOHI, Hadi et al.Energy conversion and management. 2014, Vol 81, pp 520-526, issn 0196-8904, 7 p.Article

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