| 1 |
Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability
Dunn LN, Sohn MD, LaCommare KH, Eto JH
Energy Policy, 129, 206, 2019 |
| 2 |
A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems
Cheng LF, Yu T
International Journal of Energy Research, 43(6), 1928, 2019 |
| 3 |
Planning regional-scale electric power systems under uncertainty: A case study of Jing-Jin-Ji region, China
Yu L, Li YP, Huang GH, Fan YR, Yin S
Applied Energy, 212, 834, 2018 |
| 4 |
Cooperative game theory and last addition method in the allocation of firm energy rights
Faria VAD, de Queiroz AR, Lima LMM, Lima JWM
Applied Energy, 226, 905, 2018 |
| 5 |
Distributed Control for Reaching Optimal Steady State in Network Systems: An Optimization Approach
Zhang X, Papachristodoulou A, Li N
IEEE Transactions on Automatic Control, 63(3), 864, 2018 |
| 6 |
Analyzing the performance of clean development mechanism for electric power systems under uncertain environment
Jin SW, Li YP, Huang GH, Nie S
Renewable Energy, 123, 382, 2018 |
| 7 |
Maintenance strategy selection in electric power distribution systems
Carnero MC, Gomez A
Energy, 129, 255, 2017 |
| 8 |
Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation
Wang D, Gao JY, Li P, Wang B, Zhang C, Saxena S
Journal of Power Sources, 359, 468, 2017 |
| 9 |
A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China
Yu L, Li YP, Huang GH
Energy, 98, 190, 2016 |
| 10 |
A real-time control framework for smart power networks: Design methodology and stability
Zhang X, Papachristodoulou A
Automatica, 58, 43, 2015 |
