113 citations · 694 across the 64 of their papers we have counts for
6 papers · 1 filter
Targeting Customers for Demand Response Based on Big Data
Jungsuk Kwac, Ram Rajagopal
Selecting customers for demand response programs is challenging and existing methodologies are hard to scale and poor in performance. The existing methods were limited by lack of t…
Approximation Algorithms for Optimization of Combinatorial Dynamical Systems
Insoon Yang, Samuel A. Burden, Ram Rajagopal +2
This paper considers an optimization problem for a dynamical system whose evolution depends on a collection of binary decision variables. We develop scalable approximation algorith…
Distribution System Load and Forecast Model
Raffi Sevlian, Siddarth Patel, Ram Rajagopal
This short document provides experimental evidence for the set of assumptions on the mean load and forecast errors made in \cite{Sevlian2014A_Outage} and \cite{Sevlian2014B_Outage}…
Distributed Online Modified Greedy Algorithm for Networked Storage Operation under Uncertainty
Junjie Qin, Yinlam Chow, Jiyan Yang +1
The integration of intermittent and stochastic renewable energy resources requires increased flexibility in the operation of the electric grid. Storage, broadly speaking, provides…
Short Term Electricity Load Forecasting on Varying Levels of Aggregation
Raffi Sevlian, Ram Rajagopal
We propose a simple empirical scaling law that describes load forecasting accuracy at different levels of aggregation. The model is justified based on a simple decomposition of ind…
Compensating Demand Response Participants Via Their Shapley Values
Gearóid O'Brien, Abbas El Gamal, Ram Rajagopal
Designing fair compensation mechanisms for demand response (DR) is challenging. This paper models the problem in a game theoretic setting and designs a payment distribution mechani…