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On a high level, I am interested in understanding how energy management can be facilitated in different sectors at the dawn of growing information and communication technologies. My specific interests include all aspects of control and optimization theory to develop intelligent mechanisms for achieving targeted energy sector objectives (such as demand response, energy policy framing under increased renewable penetration, integration of renewables etc.). I also love to find out novel ways in which big-data analytics can be used for optimizing the knobs in energy grids to meet suitable objectives.
Till date, I have had the opportunity of serving as a reviewer for various IEEE conferences relating to control theory (such as CDC, ACC) and have also reviewed papers for top peer-reviewed journals like Applied Energy (Elsevier), IEEE Transactions on Control Systems Technology, IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems and IEEE Transactions on Sustainable Energy. I am a member of the IEEE (since 2013) and a member of the IEEE Power and Energy Society.
Details pertaining to some of my most recent projects are given below. For more in-depth details, please see the Publications section.
Thermal energy management in thermal grids:
I work on modeling of thermal grids from a systems-based approach and utilizing such models for optimization frameworks which serves to provide demand response services to these thermal grids.
Thermal energy management in power grids
I am also working on demand response mechanism design in which utility operators centrally control the HVAC settings (to do intelligent precooling) of residential consumers under anticipated grid exigencies to reduce energy cost consumption and peak load in power grids.
Cross hedging for renewable energy markets using weather derivatives
In this work, we created stochastic models of different variables (like prices of energy, radiation, temperature of a place) and use them to understand the weather risk factors affecting solar power producers. We also investigate how these risk exposures can be downsized using financial instruments such as weather derivatives.
PEV charging through mechanism design policies in smart grid
In my Master's research, I looked into developing game theoretic principles for PEV charging in smart distribution grids. The pricing policies of our proposed frameworks are loosely based on the famous VCG mechanism and render the policy approximately incentive compatible (at least to reasonable degrees of approximation).
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