| Super resolution perception for smart meter data G Liu, J Gu, J Zhao, F Wen, G Liang Information Sciences 526, 263-273, 2020 | 42 | 2020 |
| Real-time corporate carbon footprint estimation methodology based on appliance identification G Liu, J Liu, J Zhao, J Qiu, Y Mao, Z Wu, F Wen IEEE Transactions on Industrial Informatics 19 (2), 1401-1412, 2022 | 33 | 2022 |
| Time-varying price elasticity of demand estimation for demand-side smart dynamic pricing J Ruan, G Liu, J Qiu, G Liang, J Zhao, B He, F Wen Applied Energy 322, 119520, 2022 | 32 | 2022 |
| Super resolution perception for improving data completeness in smart grid state estimation G Liang, G Liu, J Zhao, Y Liu, J Gu, G Sun, Z Dong Engineering 6 (7), 789-800, 2020 | 30 | 2020 |
| A hybrid method for bilingual text sentiment classification based on deep learning G Liu, X Xu, B Deng, S Chen, L Li 2016 17th IEEE/ACIS International Conference on Software Engineering …, 2016 | 23 | 2016 |
| Electricity-consumption data reveals the economic impact and industry recovery during the pandemic X Wang, C Si, J Gu, G Liu, W Liu, J Qiu, J Zhao Scientific Reports 11 (1), 19960, 2021 | 20 | 2021 |
| Real‐time emission and cost estimation based on unit‐level dynamic carbon emission factor J Liu, H Zhao, S Wang, G Liu, J Zhao, ZY Dong Energy Conversion and Economics 4 (1), 47-60, 2023 | 16 | 2023 |
| Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection H Wang, C Si, G Liu, J Zhao, F Wen, Y Xue Energy Conversion and Economics 3 (2), 51-60, 2022 | 16 | 2022 |
| An improved latent dirichlet allocation model for hot topic extraction G Liu, X Xu, Y Zhu, L Li 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 15 | 2014 |
| A real-time estimation framework of carbon emissions in steel plants based on load identification G Liu, J Liu, J Zhao, F Wen, Y Xue 2020 International Conference on Smart Grids and Energy Systems (SGES), 988-993, 2020 | 14 | 2020 |
| Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods Y Cao, H Zhao, Y Cheng, T Shu, G Liu, G Liang, J Zhao, Y Li arXiv preprint arXiv:2404.00282, 2024 | 12 | 2024 |
| 采用长短期记忆深度学习模型的工业负荷短期预测方法 杨甲甲， 刘国龙， 赵俊华， 文福拴， 董朝阳 电力建设 39 (10), 20-27, 2018 | 11 | 2018 |
| Applying Large Language Models to Power Systems: Potential Security Threats J Ruan, G Liang, H Zhao, G Liu, X Sun, J Qiu, Z Xu, F Wen, ZY Dong IEEE Transactions on Smart Grid, 2024 | 10 | 2024 |
| A long short term memory based deep learning method for industrial load forecasting J Yang, G Liu, J Zhao, F Wen, Z Dong Dianli Jianshe/Electric Power Construction 39 (10), 20-27, 2018 | 8 | 2018 |
| Super-resolution perception for wind power forecasting by enhancing historical data G Liu, S Zhang, H Zhao, J Liu, G Liang, J Zhao, G Sun Frontiers in Energy Research 10, 959333, 2022 | 6 | 2022 |
| Super-resolution perception for industrial sensor data J Gu, H Chen, G Liu, G Liang, X Wang, J Zhao arXiv preprint arXiv:1809.06687, 2018 | 5 | 2018 |
| A real-time carbon emission estimation framework for industrial parks with non-intrusive load monitoring J Liu, G Liu, H Zhao, J Zhao, J Qiu, ZY Dong Sustainable Energy Technologies and Assessments 60, 103482, 2023 | 4 | 2023 |
| A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems C Yang, G Liang, J Liu, G Liu, H Yang, J Zhao, Z Dong Applied Energy 350, 121712, 2023 | 4 | 2023 |
| Mobile battery energy storage system control with knowledge‐assisted deep reinforcement learning H Zhao, Z Liu, X Mai, J Zhao, J Qiu, G Liu, ZY Dong, AMYM Ghias Energy Conversion and Economics 3 (6), 381-391, 2022 | 4 | 2022 |
| A Temporal Convolutional Neural Network with Attention Mechanism for Industrial Non-Intrusive Load Monitoring G Liu, G Liang, H Zhao, J Zhao, J Liu, Z Wu 2021 IEEE 5th Conference on Energy Internet and Energy System Integration …, 2021 | 4 | 2021 |
