Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks H Wang, J Ruan, G Wang, B Zhou, Y Liu, X Fu, J Peng IEEE Transactions on Industrial Informatics 14 (11), 4766-4778, 2018 | 244 | 2018 |
Dynamic data injection attack detection of cyber physical power systems with uncertainties H Wang, J Ruan, B Zhou, C Li, Q Wu, MQ Raza, GZ Cao IEEE Transactions on Industrial informatics 15 (10), 5505-5518, 2019 | 97 | 2019 |
Deep learning aided interval state prediction for improving cyber security in energy internet H Wang, J Ruan, Z Ma, B Zhou, X Fu, G Cao Energy 174, 1292-1304, 2019 | 69 | 2019 |
An inertia-based data recovery scheme for false data injection attack J Ruan, G Liang, J Zhao, J Qiu, ZY Dong IEEE Transactions on Industrial Informatics 18 (11), 7814-7823, 2022 | 31 | 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 | 28 | 2022 |
Deep learning for cybersecurity in smart grids: Review and perspectives J Ruan, G Liang, J Zhao, H Zhao, J Qiu, F Wen, ZY Dong Energy Conversion and Economics 4 (4), 233-251, 2023 | 18 | 2023 |
Optimization of base operation points of MTDC grid for improving transition smooth S Aziz, H Jiang, JC Peng, JQ Ruan, HZ Wang 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-6, 2017 | 18 | 2017 |
Interval state estimation based defense mechanism against cyber attack on power systems J Ruan, H Wang, S Aziz, G Wang, B Zhou, X Fu 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-5, 2017 | 15 | 2017 |
Graph deep-learning-based retail dynamic pricing for demand response J Ruan, G Liang, J Zhao, S Lei, B He, J Qiu, ZY Dong IEEE Transactions on Smart Grid 14 (6), 4385-4397, 2023 | 13 | 2023 |
Super-resolution perception assisted spatiotemporal graph deep learning against false data injection attacks in smart grid J Ruan, G Fan, Y Zhu, G Liang, J Zhao, F Wen, ZY Dong IEEE Transactions on Smart Grid 14 (5), 4035-4046, 2023 | 13 | 2023 |
Price-based low-carbon demand response considering the conduction of carbon emission costs in smart grids C Yang, B He, H Liao, J Ruan, J Zhao Frontiers in Energy Research 10, 959786, 2022 | 13 | 2022 |
On vulnerability of renewable energy forecasting: Adversarial learning attacks J Ruan, Q Wang, S Chen, H Lyu, G Liang, J Zhao, ZY Dong IEEE Transactions on Industrial Informatics, 2023 | 9 | 2023 |
Assessment of spatiotemporally coordinated cyberattacks on renewable energy forecasting in smart energy system J Ruan, C Yang, Q Wang, S Wang, G Liang, J Zhao, J Qiu Applied Energy 347, 121470, 2023 | 7 | 2023 |
Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting L Yang, G Liang, Y Yang, J Ruan, P Yu, C Yang IET Renewable Power Generation 18 (7), 1370-1379, 2024 | 5 | 2024 |
Power sharing of transformer S Aziz, H Wang, JC Peng, JQ Ruan 2018 International Conference on Power System Technology (POWERCON), 4438-4442, 2018 | 5 | 2018 |
AC sparse modeling for false data injection attack on smart gird J Ruan, H Wang, Y Liu, S Aziz, J Peng, G Wang 2017 Asian Conference on Energy, Power and Transportation Electrification …, 2017 | 5 | 2017 |
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 | 3 | 2024 |
Deep Learning Time Pattern Attention Mechanism-Based Short-Term Load Forecasting Method W Liao, J Ruan, Y Xie, Q Wang, J Li, R Wang, J Zhao Frontiers in Energy Research 11, 1227979, 2023 | 3 | 2023 |
Towards interdisciplinary integration of electrical engineering and earth science J Ruan, Z Xu, H Su Nature Reviews Electrical Engineering 1 (5), 278-279, 2024 | 2 | 2024 |
Short-Term Load Forecasting with Frequency Enhanced Decomposed Transformer J Liu, G Liu, J Ruan, K Wen, C Yang, J Zhao 2022 IEEE 6th Conference on Energy Internet and Energy System Integration …, 2022 | 1 | 2022 |