Modeling of local false data injection attacks with reduced network information X Liu, Z Bao, D Lu, Z Li IEEE Transactions on Smart Grid 6 (4), 1686-1696, 2015 | 222 | 2015 |
Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning Y Yan, D Lu, K Wang Computational Materials Science 199, 110723, 2021 | 54 | 2021 |
Impact of policy incentives on the adoption of electric vehicle in China Y Liu, X Zhao, D Lu, X Li Transportation research part A: policy and practice 176, 103801, 2023 | 24 | 2023 |
Long-term Planning with Battery-based Energy Storage Transportation in Power Systems D Lu, Z Li 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), 2017 | 11 | 2017 |
Load Sampling for SCUC Based on Principal Component Analysis and Kernel Density Estimation D Lu, Z Bao, Z Li Power & Energy Society General Meeting, 2016 IEEE, 2016 | 10 | 2016 |
Short‐term nodal load forecasting based on machine learning techniques D Lu, D Zhao, Z Li International Transactions on Electrical Energy Systems 31 (9), e13016, 2021 | 6 | 2021 |
Short-term Nodal Load forecasting for SCUC Based on Data Mining methodology D Lu, Z Bao, Z Li, D Zhao Alfred University, 2018 | | 2018 |
Load Analysis Based on Machine Learning in Power Systems D Lu Illinois Institute of Technology, 2017 | | 2017 |
White Paper: Long-term Electric and Natural Gas Infrastructure Requirements IIT Robert W. Galvin Center for Electricity Innovation https://pubs.naruc.org/pub/536DCA2E-2354-D714-5112-CBD58ED9B81A, 2014 | | 2014 |