My research is at the intersection of machine learning and energy systems. I am Akansha, currently a final year Ph.D. student in Computer Engineering at the University of Massachusetts, Amherst and I am fortunately advised by Prof. David Irwin.
My thesis revolves around data-driven approaches for modeling, control and, forecasting for solar powered residences. My work also covers grid policies, grid-defection and software defined solar scheduling. I am particularly interested in using minute level multispectral satellite data to infer and forecast solar generation.
In general, I solve problems in electric grids introduced by the penetration of solar energy, natural gas generators, batteries and electric vehicles.
Prior to joining UMass Amherst in Fall'15, I worked in School of Computer Engineering - NTU, Singapore as Research Associate (2014-2015). I have MS by Research in Information Technology from IIIT-Bangalore (2011-2014) and B.Tech in Computer Science and Engineering from MDU, Rohtak (2007-2011).
I am in the job market looking for research positions in the industry. Please contact me if you are hiring and interested in my research!
Check out the media coverage by UMass on the Duke Data Analytics talk.
Our Paper "See the Light: Modeling Solar Performance using Multispectral Satellite Data", received honorable mention under best presentation award in ACM Buildsys'20
Our Paper "See the Light: Modeling Solar Performance using Multispectral Satellite Data", Akansha Singh Bansal and David Irwin got accepted in ACM Buildsys'20.
Our Paper "Exploiting Satellite Data for Solar Performance Modeling", Akansha Singh Bansal and David Irwin got accepted in IEEE Smartgridcomm'20.
I am teaching an undergraduate first-year seminar course at UMass Amherst this Fall'2020 titled - "Staring at the Sun: An Introduction to Solar Energy".
I am attending Grace Hopper Celebration (GHC'19) at Orlando, Florida - (October 1 - October 4' 2019).
I will be presenting our paper (On the Feasibility, Cost, and Carbon Emissions of Grid Defection) at IEEE Smartgridcomm'19 in Beijing, China - (October 20 - October 24' 2019).