Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning

The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

Gaoqi Liang, Steven R. Weller, Junhua Zhao et al. · IEEE Transactions on Power Systems · 2016 · 1.2K citations

Computing, Computer Science, Cybersecurity +15

Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach

Yang Li, Meng Han, Zhen Yang et al. · IEEE Transactions on Sustainable Energy · 2021 · 580 citations · Full text

Management, Industrial Engineering, Operations Management +17

Optimal energy management strategies for energy Internet via deep reinforcement learning approach

Haochen Hua, Yuchao Qin, Chuantong Hao et al. · Applied Energy · 2019 · 329 citations

Engineering, Building Science, Energy Management +15

Deep reinforcement learning for energy management in a microgrid with flexible demand

Taha Abdelhalim Nakabi, Pekka Toivanen · Sustainable Energy Grids and Networks · 2020 · 263 citations · Full text

Management, Infrastructure Planning, Energy Management +16

False Data Attacks Against AC State Estimation With Incomplete Network Information

Xuan Liu, Zuyi Li · IEEE Transactions on Smart Grid · 2016 · 259 citations

Computing, Cybersecurity, Electrical Engineering +17