| 1 |
Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions
Fan JL, Wu LF, Ma X, Zhou HM, Zhang FC
Renewable Energy, 145, 2034, 2020 |
| 2 |
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Agrawal RK, Muchahary F, Tripathi MM
Applied Energy, 250, 540, 2019 |
| 3 |
Identification of phosphorus fractions of biofilm sludge and phosphorus release, transformation and modeling in biofilm sludge treatment related to pH
Shi S, Xu GR
Chemical Engineering Journal, 369, 694, 2019 |
| 4 |
A novel data-driven approach for residential electricity consumption prediction based on ensemble learning
Chen KL, Jiang JC, Zheng FD, Chen KJ
Energy, 150, 49, 2018 |
| 5 |
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 |
