85 citations · 102 across the 15 of their papers we have counts for
4 papers · 1 filter
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
This paper considers an online proximal-gradient method to track the minimizers of a composite convex function that may continuously evolve over time. The online proximal-gradient…
A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads
Emilio Benenati, Marcello Colombino, Emiliano Dall'Anese
This paper presents a convex reformulation of a nonlinear constrained optimization problem for Markov decision processes, and applies the technical findings to optimal control prob…
Optimal Rate of Convergence for Quasi-Stochastic Approximation
Andrey Bernstein, Yue Chen, Marcello Colombino +3
The Robbins-Monro stochastic approximation algorithm is a foundation of many algorithmic frameworks for reinforcement learning (RL), and often an efficient approach to solving (or…
Dynamic Distribution State Estimation Using Synchrophasor Data
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto +1
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measuremen…