AI now report 2018 M Whittaker, K Crawford, R Dobbe, G Fried, E Kaziunas, V Mathur, ... AI Now Institute at New York University, 2018 | 490* | 2018 |
AI now 2019 report K Crawford, R Dobbe, T Dryer, G Fried, B Green, E Kaziunas, A Kak, ... New York, NY: AI Now Institute, 2019 | 298* | 2019 |
On identification of distribution grids O Ardakanian, VWS Wong, R Dobbe, SH Low, A von Meier, CJ Tomlin, ... IEEE Transactions on Control of Network Systems 6 (3), 950-960, 2019 | 123 | 2019 |
Toward distributed energy services: Decentralizing optimal power flow with machine learning R Dobbe, O Sondermeijer, D Fridovich-Keil, D Arnold, D Callaway, ... IEEE Transactions on Smart Grid 11 (2), 1296-1306, 2019 | 104 | 2019 |
Optimal dispatch of reactive power for voltage regulation and balancing in unbalanced distribution systems DB Arnold, M Sankur, R Dobbe, K Brady, DS Callaway, A Von Meier 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 82 | 2016 |
Event detection and localization in distribution grids with phasor measurement units O Ardakanian, Y Yuan, R Dobbe, A von Meier, S Low, C Tomlin 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 69 | 2017 |
Hard choices in artificial intelligence R Dobbe, TK Gilbert, Y Mintz Artificial Intelligence 300, 103555, 2021 | 63 | 2021 |
A broader view on bias in automated decision-making: Reflecting on epistemology and dynamics R Dobbe, S Dean, T Gilbert, N Kohli arXiv preprint arXiv:1807.00553, 2018 | 59 | 2018 |
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation O Sondermeijer, R Dobbe, D Arnold, C Tomlin, T Keviczky 2016 IEEE Power & Energy Society General Meeting, 1-5, 2016 | 48 | 2016 |
A linearized power flow model for optimization in unbalanced distribution systems MD Sankur, R Dobbe, E Stewart, DS Callaway, DB Arnold arXiv preprint arXiv:1606.04492 144, 2016 | 48 | 2016 |
Fully decentralized policies for multi-agent systems: An information theoretic approach R Dobbe, D Fridovich-Keil, C Tomlin Advances in neural information processing systems 30, 2017 | 44 | 2017 |
Real-time distribution grid state estimation with limited sensors and load forecasting R Dobbe, D Arnold, S Liu, D Callaway, C Tomlin 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016 | 41 | 2016 |
Linear single-and three-phase voltage forecasting and Bayesian state estimation with limited sensing R Dobbe, W van Westering, S Liu, D Arnold, D Callaway, C Tomlin IEEE Transactions on Power Systems 35 (3), 1674-1683, 2019 | 38* | 2019 |
Learning to control in power systems: Design and analysis guidelines for concrete safety problems R Dobbe, P Hidalgo-Gonzalez, S Karagiannopoulos, R Henriquez-Auba, ... Electric Power Systems Research 189, 106615, 2020 | 33 | 2020 |
AI and climate change: how they’re connected, and what we can do about it R Dobbe, M Whittaker AI Now Institute 17, 2019 | 31 | 2019 |
System safety and artificial intelligence R Dobbe Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 23 | 2022 |
Value inference in sociotechnical systems E Liscio, R Lera-Leri, F Bistaffa, RIJ Dobbe, CM Jonker, ... Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 22 | 2023 |
Model-free optimal voltage phasor regulation in unbalanced distribution systems MD Sankur, R Dobbe, A von Meier, DB Arnold IEEE Transactions on Smart grid 11 (1), 884-894, 2019 | 22 | 2019 |
Hard choices in artificial intelligence: Addressing normative uncertainty through sociotechnical commitments R Dobbe, TK Gilbert, Y Mintz arXiv preprint arXiv:1911.09005, 2019 | 19 | 2019 |
Data-driven control design schemes in active distribution grids: Capabilities and challenges S Karagiannopoulos, R Dobbe, P Aristidou, D Callaway, G Hug 2019 IEEE Milan PowerTech, 1-6, 2019 | 18 | 2019 |