Akansha Singh Bansal / Research

Research &
publications.

My research has examined how to learn from satellite observations, forecast solar power, and build AI that people can evaluate and trust. This record includes journal articles, conference papers, workshop contributions, presentations, and my doctoral dissertation.

Google Scholar ↗

Other research has included diffusion-based foundation models for unlabeled satellite data.

Environmental AI & satellite imagery

  1. 2024

    Retrieval of Boundary Layer Precipitable Water from GOES ABI Using Machine Learning Techniques

    Lee, Hilburn & Bansal · Journal of Applied Meteorology and Climatology · 2024

  2. 2023

    Trust and Trustworthy Artificial Intelligence: A Research Agenda for AI in the Environmental Sciences

    Bostrom, Bansal, et al. — Risk Analysis (Wiley), 2023

  3. 2023

    Leveraging Spatiotemporal Information in Meteorological Image Sequences: From Feature Engineering to Neural Networks

    Environmental Data Science Journal (Cambridge), 2023

  4. 2023

    Artificial Intelligence for Low-Level Moisture from GOES-R Series

    103rd AMS Annual Meeting, 2023

  5. 2023

    A Primer on Neural Network Architectures to Extract Information from Meteorological Image Sequences

    103rd AMS Annual Meeting, 2023

Solar energy & learning from data

  1. 2022

    A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning

    ACM e-Energy, 2022

  2. 2021

    Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting

    ICML Workshop on Tackling Climate Change with ML, 2021

  3. 2020

    See the Light: Modeling Solar Performance using Multispectral Satellite Data

    ACM BuildSys, 2020 — honorable mention, best presentation

  4. 2020

    Exploiting Satellite Data for Solar Performance Modeling

    IEEE SmartGridComm, 2020

  5. 2019

    On the Feasibility, Cost, and Carbon Emissions of Grid Defection

    IEEE SmartGridComm, 2019 — Beijing, China

  6. 2017

    SunShade: Enabling Software-Defined Solar-Powered Systems

    ACM/IEEE ICCPS, 2017

  7. 2016

    SunShade: Software-Defined Solar Power

    ACM e-Energy · Poster / short paper

Smart grids & infrastructure

  1. 2014

    Health Monitoring in Smart Grid Using Big Data Perspective

    IBM I-CARE, 2014

  2. 2013

    Distributed Health Monitoring System for Control in Smart Grid Network

    IEEE ISGT-Asia, 2013

  3. 2013

    Vulnerability Analysis of Power Grid Network against Failures by State Classification

    IEEE EPEC, 2013

  4. 2013

    Two-Tier Communication Architecture for Smart Meter

    IEEE COMSNETS, 2013 — poster

Doctoral dissertation

  1. 2021

    Ph.D. Thesis — Data-Driven Control, Modeling, and Forecasting for Residential Solar Power

    UMass Amherst, 2021

For citation records and additional versions, visit Google Scholar. My speaking, teaching, and service are on the main page.