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01/04/2023
Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks
Volt/VAR control rules facilitate the autonomous operation of distribute...
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11/17/2022
Deep Learning for Optimal Volt/VAR Control using Distributed Energy Resources
Given their intermittency, distributed energy resources (DERs) have been...
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06/22/2022
Learning Distribution Grid Topologies: A Tutorial
Unveiling feeder topologies from data is of paramount importance to adva...
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02/23/2022
Learning Neural Networks under Input-Output Specifications
In this paper, we examine an important problem of learning neural networ...
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12/04/2021
DNN-based Policies for Stochastic AC OPF
A prominent challenge to the safe and optimal operation of the modern po...
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05/02/2021
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach
Coordinating inverters at scale under uncertainty is the desideratum for...
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03/27/2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks
To shift the computational burden from real-time to offline in delay-cri...
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04/14/2020
Strategic Investment in Energy Markets: A Multiparametric Programming Approach
An investor has to carefully select the location and size of new generat...
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07/10/2018
Kernel-Based Learning for Smart Inverter Control
Distribution grids are currently challenged by frequent voltage excursio...
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06/22/2018
Smart Inverter Grid Probing for Learning Loads: Part II - Probing Injection Design
This two-part work puts forth the idea of engaging power electronics to ...
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06/22/2018
Smart Inverter Grid Probing for Learning Loads: Part I - Identifiability Analysis
Distribution grids currently lack comprehensive real-time metering. Neve...
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12/20/2016
Enhancing Observability in Distribution Grids using Smart Meter Data
Due to limited metering infrastructure, distribution grids are currently...
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10/22/2014
Online Energy Price Matrix Factorization for Power Grid Topology Tracking
Grid security and open markets are two major smart grid goals. Transpare...
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12/02/2013
Grid Topology Identification using Electricity Prices
The potential of recovering the topology of a grid using solely publicly...
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10/02/2013
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning
The smart grid vision entails advanced information technology and data a...
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04/04/2012
Distributed Robust Power System State Estimation
Deregulation of energy markets, penetration of renewables, advanced mete...
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04/22/2011
Robust Clustering Using Outlier-Sparsity Regularization
Notwithstanding the popularity of conventional clustering algorithms suc...
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03/03/2011
Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation
Volterra and polynomial regression models play a major role in nonlinear...
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11/01/2010