research
∙
04/03/2023
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
In this paper, we consider the scenario-based two-stage stochastic DC op...
share
research
∙
03/17/2023
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition
The dynamics of the power system are described by a system of differenti...
research
∙
11/30/2022
Efficient Reinforcement Learning Through Trajectory Generation
A key barrier to using reinforcement learning (RL) in many real-world ap...
research
∙
11/29/2022
Interpreting Primal-Dual Algorithms for Constrained MARL
Constrained multiagent reinforcement learning (C-MARL) is gaining import...
research
∙
10/04/2021
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach
Using deep neural networks to predict the solutions of AC optimal power ...
research
∙
03/05/2021
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability
Transient stability of power systems is becoming increasingly important ...
research
∙
09/14/2020
Multi-Agent Reinforcement Learning in Cournot Games
In this work, we study the interaction of strategic agents in continuous...
research
∙
03/20/2020
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
This paper focuses on finding reinforcement learning policies for contro...
research
∙
02/04/2020
Transfer Learning for HVAC System Fault Detection
Faults in HVAC systems degrade thermal comfort and energy efficiency in ...
research
∙
06/15/2019
Learning in Cournot Games with Limited Information Feedback
In this work, we study the interaction of strategic players in continuou...
research
∙
06/14/2019
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
Probabilistic power flow (PPF) plays a critical role in the analysis of ...
research
∙
03/09/2019
A tractable ellipsoidal approximation for voltage regulation problems
We present a machine learning approach to the solution of chance constra...
research
∙
04/17/2018
A Capacity-Price Game for Uncertain Renewables Resources
Renewable resources are starting to constitute a growing portion of the ...
research
∙
04/03/2018
Real-Time Prediction of the Duration of Distribution System Outages
This paper addresses the problem of predicting duration of unplanned pow...
research
∙
02/02/2018
Bayesian Renewables Scenario Generation via Deep Generative Networks
We present a method to generate renewable scenarios using Bayesian proba...
research
∙
09/25/2017
Uncertainty in Multi-Commodity Routing Networks: When does it help?
We study the equilibrium quality under user uncertainty in a multi-commo...
research
∙
04/28/2017
Distribution System Voltage Control under Uncertainties
Voltage control plays an important role in the operation of electricity ...
research
∙
10/02/2016
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect
Demand response is designed to motivate electricity customers to modify ...
research
∙
08/27/2016
Learning Temporal Dependence from Time-Series Data with Latent Variables
We consider the setting where a collection of time series, modeled as ra...
research
∙
02/09/2016
Online Active Linear Regression via Thresholding
We consider the problem of online active learning to collect data for re...
research
∙
11/05/2015
