| Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model Z Guo, W Zhao, H Lu, J Wang Renewable energy 37 (1), 241-249, 2012 | 576 | 2012 |
| Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting N An, W Zhao, J Wang, D Shang, E Zhao Energy 49, 279-288, 2013 | 213 | 2013 |
| A seasonal hybrid procedure for electricity demand forecasting in China S Zhu, J Wang, W Zhao, J Wang Applied Energy 88 (11), 3807-3815, 2011 | 117 | 2011 |
| One day ahead wind speed forecasting: A resampling-based approach W Zhao, YM Wei, Z Su Applied Energy 178, 886-901, 2016 | 98 | 2016 |
| Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model W Zhao, J Wang, H Lu Omega 45, 80-91, 2014 | 91 | 2014 |
| Forecasting China’s regional energy demand by 2030: A Bayesian approach XC Yuan, X Sun, W Zhao, Z Mi, B Wang, YM Wei Resources, Conservation and Recycling 127, 85-95, 2017 | 80 | 2017 |
| A novel combined model for wind speed prediction–Combination of linear model, shallow neural networks, and deep learning approaches S Wang, J Wang, H Lu, W Zhao Energy 234, 121275, 2021 | 78 | 2021 |
| Performance analysis of four modified approaches for wind speed forecasting W Zhang, J Wu, J Wang, W Zhao, L Shen Applied Energy 99, 324-333, 2012 | 64 | 2012 |
| Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm J Hu, J Heng, J Wen, W Zhao Renewable energy 162, 1208-1226, 2020 | 58 | 2020 |
| Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm J Wang, S Zhu, W Zhao, W Zhu Expert Systems with Applications 38 (7), 8151-8158, 2011 | 58 | 2011 |
| Impacts of shifting China’s final energy consumption to electricity on CO2 emission reduction W Zhao, Y Cao, B Miao, K Wang, YM Wei Energy Economics 71, 359-369, 2018 | 51 | 2018 |
| Arima model estimated by particle swarm optimization algorithm for consumer price index forecasting H Wang, W Zhao Artificial Intelligence and Computational Intelligence: International …, 2009 | 39 | 2009 |
| Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition Y Zhou, J Wang, H Lu, W Zhao Chaos, Solitons & Fractals 157, 111982, 2022 | 34 | 2022 |
| Congestion assessment for the Belt and Road countries considering carbon emission reduction Z Chen, W Wang, F Li, W Zhao Journal of cleaner production 242, 118405, 2020 | 34 | 2020 |
| Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China Z Chen, J Li, W Zhao, XC Yuan, G Yang Energy Policy 125, 122-134, 2019 | 34 | 2019 |
| Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting J Wang, R Jia, W Zhao, J Wu, Y Dong Chaos, Solitons & Fractals 45 (9-10), 1277-1287, 2012 | 34 | 2012 |
| Hodrick–Prescott filter-based hybrid ARIMA–SLFNs model with residual decomposition scheme for carbon price forecasting Q Qin, Z Huang, Z Zhou, Y Chen, W Zhao Applied Soft Computing 119, 108560, 2022 | 30 | 2022 |
| Capacity utilization loss of the Belt and Road countries incorporating carbon emission reduction and the impacts of China’s OFDI Z Chen, T Yan, W Zhao, G Ni Journal of Cleaner Production 280, 123926, 2021 | 22 | 2021 |
| An advanced weighted system based on swarm intelligence optimization for wind speed prediction Y Shao, J Wang, H Zhang, W Zhao Applied Mathematical Modelling 100, 780-804, 2021 | 18 | 2021 |
| Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction Z Chen, W Zhao, H Zheng Energy Policy 148, 111888, 2021 | 18 | 2021 |
