| Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks B Gao, X Huang, J Shi, Y Tai, J Zhang Renewable Energy 162, 1665-1683, 2020 | 266 | 2020 |
| Hybrid deep neural model for hourly solar irradiance forecasting X Huang, Q Li, Y Tai, Z Chen, J Zhang, J Shi, B Gao, W Liu Renewable Energy 171, 1041-1060, 2021 | 125 | 2021 |
| Trustworthy and intelligent covid-19 diagnostic iomt through xr and deep-learning-based clinic data access Y Tai, B Gao, Q Li, Z Yu, C Zhu, V Chang IEEE Internet of Things Journal 8 (21), 15965-15976, 2021 | 80 | 2021 |
| Forecasting hourly solar irradiance using hybrid wavelet transformation and Elman model in smart grid X Huang, J Shi, B Gao, Y Tai, Z Chen, J Zhang IEEE access 7, 139909-139923, 2019 | 72 | 2019 |
| Predicting day-ahead solar irradiance through gated recurrent unit using weather forecasting data B Gao, X Huang, J Shi, Y Tai, R Xiao Journal of Renewable and Sustainable Energy 11 (4), 2019 | 47 | 2019 |
| A Comparison of Hour‐Ahead Solar Irradiance Forecasting Models Based on LSTM Network X Huang, C Zhang, Q Li, Y Tai, B Gao, J Shi Mathematical Problems in Engineering 2020 (1), 4251517, 2020 | 45 | 2020 |
| Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach B Gao, X Kong, S Li, Y Chen, X Zhang, Z Liu, W Lv Applied Energy 353, 122157, 2024 | 10 | 2024 |
| DSM pricing method based on A3C and LSTM under cloud-edge environment F Sun, X Kong, J Wu, B Gao, K Chen, N Lu Applied Energy 315, 118853, 2022 | 10 | 2022 |
| Neural model stealing attack to smart mobile device on intelligent medical platform L Zhang, G Lin, B Gao, Z Qin, Y Tai, J Zhang Wireless Communications and Mobile Computing 2020 (1), 8859489, 2020 | 7 | 2020 |
| Optimal operation of carbon capture power plants considering carbon trading under low carbon economy Z Liu, X Kong, S Li, B Gao, Y Gao, Y Wang 2022 25th International Conference on Electrical Machines and Systems (ICEMS …, 2022 | 5 | 2022 |
| An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting Z Xiao, B Gao, X Huang, Z Chen, C Li, Y Tai Journal of Cleaner Production 436, 140585, 2024 | 4 | 2024 |
| Siting and Capacity Planning Method for Electric Vehicle Charging Station Based on Chaotic Simulated Annealing Particle Swarm Optimization S Li, Z Liu, X Kong, Y Shen, B Gao, W Hu 2022 25th International Conference on Electrical Machines and Systems (ICEMS …, 2022 | 2 | 2022 |
| Monitoring high-carbon industry enterprise emission in carbon market: a multi-trusted approach using externally available big data B Gao, X Kong, G Liu, T Xiang, Y Gao, S Luo, Y Wang Journal of Cleaner Production 466, 142729, 2024 | 1 | 2024 |
| Research on 24-h forecasting of solar irradiance based on multilayer perceptron model B Gao, X Huang, J Shi Optical Metrology and Inspection for Industrial Applications VI 11189, 384-390, 2019 | 1 | 2019 |
| A method for analyzing the irrepazrability of diverse electricity consumption data based on improved data generation technology Y Ma, X Kong, L Zhao, G Liu, B Gao Applied Energy 374, 123994, 2024 | | 2024 |
| Analysis of Incremental Carbon Emission Flow Intensity in Power System Considering Transmission Loss Z Zou, X Kong, S Li, Y Gao, S Luo, B Gao 2023 26th International Conference on Electrical Machines and Systems (ICEMS …, 2023 | | 2023 |
| A Near-real-time Estimation Method for Carbon Emissions from High-emission Industries Based on Electricity-Energy-Carbon Linkage Model S Li, X Kong, B Gao, Z Liu, S Wang 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | | 2023 |
| A Data-Driven Analysis Method for the Trajectory of Power Carbon Emission in the Urban Area Y Gao, D Yan, X Kong, N Liu, Z Zou, B Gao, Y Wang, Y Chen, S Luo Big Data, 2023 | | 2023 |
| Intelligent electricity theft detection system in low-voltage stations considering data with low-quality and imbalance B Gao, X Kong IET Digital Library, 2023 | | 2023 |
Yonghang TaiDeakin University在 deakin.edu.au 的电子邮件经过验证
