Emre Can Kara

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We introduce the Plug-Level Appliance Identification Dataset (PLAID), a public and crowd-sourced dataset for load identification research consisting of short voltage and current measurements (in the order of a few seconds) for different residential appliances. The goal of PLAID is to provide a public library for high-resolution appliance measurements that(More)
This paper presents a stochastic modeling framework to employ adaptive control strategies in order to provide short term ancillary services to the power grid by using a population of heterogenous thermostatically controlled loads. The problem is cast anew as a classical Markov Decision Process (MDP) to leverage existing tools in the field of reinforcement(More)
Plug-meters benefit many grid and building-level energy management applications like automated load control and load scheduling. However, installing and maintaining large and/or long term deployments of such meters requires assignment and updating of the identity (labels) of electrical loads connected to them. Although the literature on electricity(More)
This paper presents a set of methods for estimating the renewable energy generation downstream of a measurement device using real-world measurements. First, we present a generation disaggregation scheme where the only information available for estimation is the micro-synchrophasor measurements obtained at the substation or feeder head. We then propose two(More)
Aggregations of thermostatically controlled loads (TCLs) have been shown to hold promise as demand response resources. However, the evaluation of these promises has relied on simulations of individual TCLs that make important assumptions about the thermal dynamics and properties of the loads, the end-user’s interactions with individual TCLs and the(More)
In this paper, we use data collected from over 2000 non-residential electric vehicle supply equipments (EVSEs) located in Northern California for the year of 2013 to estimate the potential benefits of smart electric vehicle (EV) charging. We develop a smart charging framework to identify the benefits of non-residential EV charging to the load aggregators(More)
Co-simulation platforms are necessary to study the interactions of complex systems integrated in future smart grids. The Virtual Grid Integration Laboratory (VirGIL) is a modular co-simulation platform designed to study interactions between demand response strategies, building comfort, communication networks, and power system operation. This paper presents(More)
Real-time PV generation information is crucial for distribution system operations, in particular for switching operations, state-estimation, and management of the voltage at the point of provision. However, most behind-the-meter solar installations are not monitored. Typically, the only information available to the distribution system operator is the(More)
Power systems are undergoing a paradigm shift due to the influx of variable renewable generation to the supply side. The resulting increased uncertainty has system operators looking to new resources, enabled by smart grid technologies, on the demand side to maintain the balance between supply and demand. This study uses a unique data set to estimate and(More)