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ORCIDEmiliano Dall'Anese
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2020 – today
- 2024
[j52]Antonin Colot
, Vishal Shenoy, Guido Cavraro, Emiliano Dall'Anese, Jorge I. Poveda:
On the Stability of Power Transmission Systems Under Persistent Inverter Attacks: A Bi-Linear Matrix Approach. IEEE Control. Syst. Lett. 8: 1853-1858 (2024)- [j51]Liam Madden, Emiliano Dall'Anese, Stephen Becker:
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise. J. Mach. Learn. Res. 25: 241:1-241:36 (2024) - [j50]Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis. IEEE Trans. Autom. Control. 69(7): 4411-4426 (2024) - [j49]Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese:
A Stochastic Operator Framework for Optimization and Learning With Sub-Weibull Errors. IEEE Trans. Autom. Control. 69(12): 8722-8737 (2024) - [j48]Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
$k$-Dimensional Agreement in Multiagent Systems. IEEE Trans. Autom. Control. 69(12): 8978-8985 (2024) - [i48]Marko Nonhoff, Emiliano Dall'Anese, Matthias Albrecht Müller:
Online convex optimization for robust control of constrained dynamical systems. CoRR abs/2401.04487 (2024) - [i47]Antonin Colot, Elisabetta Perotti, Mevludin Glavic, Emiliano Dall'Anese:
Incremental Volt/Var Control for Distribution Networks via Chance-Constrained Optimization. CoRR abs/2405.02511 (2024) - [i46]Yiting Chen, Pol Mestres, Emiliano Dall'Anese, Jorge Cortés:
Characterization of the Dynamical Properties of Safety Filters for Linear Planar Systems. CoRR abs/2408.00958 (2024) - [i45]Yiting Chen, Pol Mestres, Jorge Cortés, Emiliano Dall'Anese:
Equilibria and Their Stability Do Not Depend on the Control Barrier Function in Safe Optimization-Based Control. CoRR abs/2409.06808 (2024) - 2023
- [j47]Yiting Chen, Liliaokeawawa Cothren, Jorge Cortés, Emiliano Dall'Anese:
Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems. IEEE Control. Syst. Lett. 7: 3789-3794 (2023) - [j46]Killian Wood, Emiliano Dall'Anese:
Stochastic Saddle Point Problems with Decision-Dependent Distributions. SIAM J. Optim. 33(3): 1943-1967 (2023) - [j45]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Time-Varying Optimization of Networked Systems With Human Preferences. IEEE Trans. Control. Netw. Syst. 10(1): 503-515 (2023) - [c64]Ana M. Ospina, Emiliano Dall'Anese:
Data-Driven and Online Estimation of Linear Sensitivity Distribution Factors: A Low-Rank Approach. CDC 2023: 7285-7292 - [c63]Yiting Chen, Ana M. Ospina, Fabio Pasqualetti, Emiliano Dall'Anese:
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems. CDC 2023: 7342-7349 - [c62]Killian Reed Wood, Emiliano Dall'Anese:
Online Saddle Point Tracking with Decision-Dependent Data. L4DC 2023: 1416-1428 - [i44]Yiting Chen, Ana M. Ospina, Fabio Pasqualetti, Emiliano Dall'Anese:
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems. CoRR abs/2301.01430 (2023) - [i43]Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin, Andrea Simonetto, Emiliano Dall'Anese:
Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing. CoRR abs/2305.02419 (2023) - [i42]Liliaokeawawa Cothren, Francesco Bullo, Emiliano Dall'Anese:
Singular Perturbation via Contraction Theory. CoRR abs/2310.07966 (2023) - [i41]Yiting Chen, Liliaokeawawa Cothren, Jorge Cortés, Emiliano Dall'Anese:
Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems. CoRR abs/2311.18020 (2023) - [i40]Antonin Colot, Yiting Chen, Bertrand Cornélusse, Jorge Cortés, Emiliano Dall'Anese:
Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow. CoRR abs/2312.12267 (2023) - [i39]Killian Wood, Ahmed S. Zamzam, Emiliano Dall'Anese:
Solving Decision-Dependent Games by Learning from Feedback. CoRR abs/2312.17471 (2023) - 2022
- [j44]Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese:
Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows. Autom. 146: 110579 (2022) - [j43]Felipe Galarza-Jimenez, Jorge I. Poveda, Gianluca Bianchin, Emiliano Dall'Anese:
Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. IEEE Control. Syst. Lett. 6: 133-138 (2022) - [j42]Killian Wood, Gianluca Bianchin, Emiliano Dall'Anese:
Online Projected Gradient Descent for Stochastic Optimization With Decision-Dependent Distributions. IEEE Control. Syst. Lett. 6: 1646-1651 (2022) - [j41]Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese:
Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates. IEEE Control. Syst. Lett. 6: 2521-2526 (2022) - [j40]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems. SIAM J. Control. Optim. 60(4): 1970-1990 (2022) - [j39]Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein:
Online State Estimation for Time-Varying Systems. IEEE Trans. Autom. Control. 67(10): 5424-5431 (2022) - [j38]Gianluca Bianchin, Jorge Cortés, Jorge I. Poveda, Emiliano Dall'Anese:
Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows. IEEE Trans. Control. Netw. Syst. 9(1): 474-486 (2022) - [j37]Guido Cavraro, Joshua Comden, Emiliano Dall'Anese, Andrey Bernstein:
Real-Time Distribution System State Estimation With Asynchronous Measurements. IEEE Trans. Smart Grid 13(5): 3813-3822 (2022) - [c61]Liliaokeawawa Cothren, Ana M. Ospina, Gianluca Bianchin, Emiliano Dall'Anese:
Online Optimization of Linear-Time Invariant Dynamical Systems with Cost Perception. IEEECONF 2022: 1357-1361 - [c60]Seunghyun Kim, Liam Madden, Emiliano Dall'Anese:
Online Stochastic Gradient Methods Under Sub-Weibull Noise and the Polyak-Łojasiewicz Condition. CDC 2022: 3499-3506 - [c59]Felipe Galarza-Jimenez, Emiliano Dall'Anese, Jorge I. Poveda:
Feedback-Based Optimization of Power Systems: Resilience to Persistent Attacks. CDC 2022: 7103-7108 - [c58]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. L4DC 2022: 138-152 - [c57]Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese:
Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions. L4DC 2022: 234-247 - [c56]Felipe Galarza-Jimenez, Jorge Poveda, Emiliano Dall'Anese:
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints. L4DC 2022: 1100-1111 - [c55]Daniel A. Messenger, Emiliano Dall'Anese, David M. Bortz:
Online Weak-form Sparse Identification of Partial Differential Equations. MSML 2022: 241-256 - [i38]Killian Wood, Emiliano Dall'Anese:
Stochastic Saddle Point Problems with Decision-Dependent Distributions. CoRR abs/2201.02313 (2022) - [i37]Daniel A. Messenger, Emiliano Dall'Anese, David M. Bortz:
Online Weak-form Sparse Identification of Partial Differential Equations. CoRR abs/2203.03979 (2022) - [i36]Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese:
Online Optimization of Dynamical Systems with Deep Learning Perception. CoRR abs/2205.09574 (2022) - [i35]Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
k-Dimensional Agreement in Multiagent Systems. CoRR abs/2208.08999 (2022) - [i34]Liliaokeawawa Cothren, Gianluca Bianchin, Sarah Dean, Emiliano Dall'Anese:
Perception-Based Sampled-Data Optimization of Dynamical Systems. CoRR abs/2211.10020 (2022) - [i33]Killian Wood, Emiliano Dall'Anese:
Online Saddle Point Tracking with Decision-Dependent Data. CoRR abs/2212.02693 (2022) - 2021
- [j36]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized optimization with user's feedback. Autom. 131: 109767 (2021) - [j35]Liam Madden, Stephen Becker, Emiliano Dall'Anese:
Bounds for the Tracking Error of First-Order Online Optimization Methods. J. Optim. Theory Appl. 189(2): 437-457 (2021) - [j34]Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong:
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization. IEEE Trans. Signal Inf. Process. over Networks 7: 144-155 (2021) - [c54]Felipe Galarza-Jimenez, Jorge I. Poveda, Gianluca Bianchin, Emiliano Dall'Anese:
Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. ACC 2021: 3806-3811 - [c53]Felipe Galarza-Jimenez, Jorge I. Poveda, Ronny J. Kutadinata, Lele Zhang, Emiliano Dall'Anese:
Self-Optimizing Traffic Light Control Using Hybrid Accelerated Extremum Seeking. CDC 2021: 1941-1946 - [c52]Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems. CDC 2021: 5783-5788 - [c51]Ana M. Ospina, Emiliano Dall'Anese:
Personalized Online Optimization of Networked Systems via Gaussian Processes. CISS 2021: 1 - [c50]Nicola Bastianello, Emiliano Dall'Anese:
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization. ECC 2021: 2432-2437 - [i32]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Time-Varying Optimization of Networked Systems with Human Preferences. CoRR abs/2103.13470 (2021) - [i31]Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese:
A Stochastic Operator Framework for Inexact Static and Online Optimization. CoRR abs/2105.09884 (2021) - [i30]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. CoRR abs/2105.13271 (2021) - [i29]Killian Wood, Gianluca Bianchin, Emiliano Dall'Anese:
Online Projected Gradient Descent for Stochastic Optimization with Decision-Dependent Distributions. CoRR abs/2107.09721 (2021) - [i28]Seunghyun Kim, Liam Madden, Emiliano Dall'Anese:
Convergence of the Inexact Online Gradient and Proximal-Gradient Under the Polyak-Łojasiewicz Condition. CoRR abs/2108.03285 (2021) - [i27]Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis. CoRR abs/2108.13040 (2021) - [i26]Gianluca Bianchin, Emiliano Dall'Anese, Jorge I. Poveda, David Jacobson, Elizabeth J. Carlton, Andrea G. Buchwald:
Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization. CoRR abs/2109.06025 (2021) - [i25]Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese:
Data-based Online Optimization of Networked Systems with Infrequent Feedback. CoRR abs/2109.06343 (2021) - [i24]Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese:
Data-enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions. CoRR abs/2112.01652 (2021) - 2020
- [j33]Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis:
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications. Proc. IEEE 108(11): 2032-2048 (2020) - [j32]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning With Information Streams: Time-varying algorithms and applications. IEEE Signal Process. Mag. 37(3): 71-83 (2020) - [j31]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen:
Online Stochastic Optimization of Networked Distributed Energy Resources. IEEE Trans. Autom. Control. 65(6): 2387-2401 (2020) - [j30]Marcello Colombino, Emiliano Dall'Anese, Andrey Bernstein:
Online Optimization as a Feedback Controller: Stability and Tracking. IEEE Trans. Control. Netw. Syst. 7(1): 422-432 (2020) - [j29]Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li:
Aggregate Power Flexibility in Unbalanced Distribution Systems. IEEE Trans. Smart Grid 11(1): 258-269 (2020) - [j28]Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu:
Dynamic Distribution State Estimation Using Synchrophasor Data. IEEE Trans. Smart Grid 11(1): 821-831 (2020) - [c49]Martina Bucciarelli, Simone Paoletti, Emiliano Dall'Anese, Antonio Vicino:
On the greedy placement of energy storage systems in distribution grids. ACC 2020: 1280-1285 - [c48]Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese:
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. ACC 2020: 2850-2857 - [c47]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Personalized Demand Response via Shape-Constrained Online Learning. SmartGridComm 2020: 1-6 - [i23]Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong:
Online Proximal-ADMM For Time-varying Constrained Optimization. CoRR abs/2005.03267 (2020) - [i22]Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein:
Online State Estimation for Systems with Asynchronous Sensors. CoRR abs/2006.00628 (2020) - [i21]Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis:
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications. CoRR abs/2006.08500 (2020) - [i20]Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese:
Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows. CoRR abs/2008.03903 (2020)
2010 – 2019
- 2019
- [j27]Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein:
On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. IEEE Control. Syst. Lett. 3(3): 613-618 (2019) - [j26]Chin-Yao Chang, Marcello Colombino, Jorge Cortés, Emiliano Dall'Anese:
Saddle-Flow Dynamics for Distributed Feedback-Based Optimization. IEEE Control. Syst. Lett. 3(4): 948-953 (2019) - [j25]Ahmed S. Zamzam, Emiliano Dall'Anese, Changhong Zhao, Josh A. Taylor, Nicholas D. Sidiropoulos:
Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution. IEEE Trans. Control. Netw. Syst. 6(1): 37-47 (2019) - [j24]Andrey Bernstein, Emiliano Dall'Anese:
Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach. IEEE Trans. Control. Netw. Syst. 6(3): 1197-1209 (2019) - [j23]Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto:
Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization. IEEE Trans. Signal Process. 67(8): 1978-1991 (2019) - [j22]Raksha Ramakrishna, Anna Scaglione, Vijay Vittal, Emiliano Dall'Anese, Andrey Bernstein:
A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature. IEEE Trans. Signal Process. 67(24): 6368-6383 (2019) - [c46]Jennifer Annoni, Emiliano Dall'Anese, Mingyi Hong, Christopher J. Bay:
Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms. ACC 2019: 4173-4178 - [c45]Emilio Benenati, Marcello Colombino, Emiliano Dall'Anese:
A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads. CDC 2019: 4189-4194 - [c44]Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn:
Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC 2019: 5244-5251 - [c43]Liam Madden, Stephen Becker, Emiliano Dall'Anese:
Online Sparse Subspace Clustering. DSW 2019: 248-252 - [c42]Guido Cavraro, Emiliano Dall'Anese, Andrey Bernstein:
Dynamic Power Network State Estimation with Asynchronous Measurements. GlobalSIP 2019: 1-5 - [i19]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized Optimization with User's Feedback. CoRR abs/1905.00775 (2019) - [i18]Emilio Benenati, Marcello Colombino, Emiliano Dall'Anese:
A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads. CoRR abs/1908.09167 (2019) - [i17]Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese:
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. CoRR abs/1910.02018 (2019) - [i16]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications. CoRR abs/1910.08123 (2019) - 2018
- [j21]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. IEEE J. Sel. Top. Signal Process. 12(4): 673-687 (2018) - [j20]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems. SIGMETRICS Perform. Evaluation Rev. 46(3): 92 (2018) - [j19]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Andrea Simonetto:
An Incentive-Based Online Optimization Framework for Distribution Grids. IEEE Trans. Autom. Control. 63(7): 2019-2031 (2018) - [j18]James L. Cale, Brian B. Johnson, Emiliano Dall'Anese, Peter Michael Young, Gerald P. Duggan, Poorva A. Bedge, Daniel Zimmerle, Leah Holton:
Mitigating Communication Delays in Remotely Connected Hardware-in-the-Loop Experiments. IEEE Trans. Ind. Electron. 65(12): 9739-9748 (2018) - [j17]Emiliano Dall'Anese, Andrea Simonetto:
Optimal Power Flow Pursuit. IEEE Trans. Smart Grid 9(2): 942-952 (2018) - [j16]Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall'Anese:
Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables. IEEE Trans. Smart Grid 9(5): 3966-3975 (2018) - [j15]Yijian Zhang, Mingyi Hong, Emiliano Dall'Anese, Sairaj V. Dhople, Zi Xu:
Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM. IEEE Trans. Smart Grid 9(5): 4525-4537 (2018) - [c41]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. ACC 2018: 3840-3846 - [c40]Ahmed S. Zamzam, Emiliano Dall'Anese, Nicholas D. Sidiropoulos:
Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition. CDC 2018: 2396-2401 - [c39]Andrey Bernstein, Emiliano Dall'Anese:
Asynchronous and Distributed Tracking of Time-Varying Fixed Points. CDC 2018: 3236-3243 - [c38]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization. CDC 2018: 3244-3250 - [c37]Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese:
Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CDC 2018: 5708-5715 - [c36]Benjamin Kroposki, Emiliano Dall'Anese, Andrey Bernstein, Yingchen Zhang, Bri-Mathias S. Hodge:
Autonomous Energy Grids. HICSS 2018: 1-10 - [c35]Raksha Ramakrishna, Andrey Bernstein, Emiliano Dall'Anese, Anna Scaglione:
Joint Probabilistic Forecasts of Temperature and Solar Irradiance. ICASSP 2018: 3819-3823 - [i15]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. CoRR abs/1803.10804 (2018) - [i14]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies. CoRR abs/1804.06384 (2018) - [i13]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies. CoRR abs/1804.06388 (2018) - [i12]Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese:
Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CoRR abs/1810.01587 (2018) - [i11]Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li:
Aggregate Power Flexibility in Unbalanced Distribution Systems. CoRR abs/1812.05990 (2018) - 2017
- [j14]Andrea Simonetto, Emiliano Dall'Anese:
Prediction-Correction Algorithms for Time-Varying Constrained Optimization. IEEE Trans. Signal Process. 65(20): 5481-5494 (2017) - [c34]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Kyri Baker:
Incentive-based voltage regulation in distribution networks. ACC 2017: 2732-2738 - [c33]Swaroop S. Guggilam, Changhong Zhao, Emiliano Dall'Anese, Yu Christine Chen, Sairaj V. Dhople:
Primary frequency response with aggregated DERs. ACC 2017: 3386-3393 - [c32]Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong, Sairaj V. Dhople, Zi Xu:
Regulation of renewable energy sources to optimal power flow solutions using ADMM. ACC 2017: 3394-3399 - [c31]Ahmed S. Zamzam, Xiao Fu, Emiliano Dall'Anese, Nicholas D. Sidiropoulos:
Distributed optimal power flow using feasible point pursuit. CAMSAP 2017: 1-5 - [c30]Swaroop S. Guggilam, Changhong Zhao, Emiliano Dall'Anese, Yu Christine Chen, Sairaj V. Dhople:
Engineering inertial and primary-frequency response for distributed energy resources. CDC 2017: 5112-5118 - [c29]Andrey Bernstein, Emiliano Dall'Anese:
Bi-level dynamic optimization with feedback. GlobalSIP 2017: 553-557 - [c28]