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A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India Barman M, Choudhury NBD, Sutradhar S Energy, 145, 710, 2018 |
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Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation Wang XY, Luo DK, Zhao X, Sun Z Energy, 152, 539, 2018 |
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Medium-term heat load prediction for an existing residential building based on a wireless on-off control system Gu JH, Wang J, Qi CY, Min CH, Sunden B Energy, 152, 709, 2018 |
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Data-driven heating and cooling load predictions for non-residential buildings based on support vector machine regression and NARX Recurrent Neural Network: A comparative study on district scale Koschwitz D, Frisch J, van Treeck C Energy, 165, 134, 2018 |
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An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification Mutlu AY, Yucel O Energy, 165, 895, 2018 |
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Thermal comfort prediction using normalized skin temperature in a uniform built environment Chaudhuri T, Zhai DQ, Soh YC, Li H, Xie LH Energy and Buildings, 159, 426, 2018 |
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Semi-supervised learning for early detection and diagnosis of various air handling unit faults Yan K, Zhong CW, Ji ZW, Huang J Energy and Buildings, 181, 75, 2018 |
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Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China Fan JL, Wang XK, Wu LF, Zhou HM, Zhang FC, Yu X, Lu XH, Xiang YZ Energy Conversion and Management, 164, 102, 2018 |
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A novel framework for wind speed prediction based on recurrent neural networks and support vector machine Yu CJ, Li YL, Bao YL, Tang HJ, Zhai GH Energy Conversion and Management, 178, 137, 2018 |
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Applying SVM scheme for modeling of natural gas dew point Ghazani SHHN Energy Sources Part A-recovery Utilization and Environmental Effects, 40(5), 579, 2018 |