Journal Paper(s)

Yoonjin Lee,  Kyle Hilburn and, Akansha Singh Bansal. Estimating low-level water vapor from GOES ABI using machine learning - Journal submitted for review, March 2024

Ann Bostrom, Akansha Singh Bansal et al. Trust and Trustworthy Artificial Intelligence: A Research Agenda for AI in the Environmental Sciences - Wiley Journal, November 2023. Link

Akansha Singh Bansal, Yoonjin Lee,  Kyle Hilburn and, Imme Ebert-Uphoff. Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks - Environmental Data Science Journal, July 2023. Link

Conference Publications

Akansha Singh Bansal, Trapit Bansal, and David Irwin. A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning. - Published in the 13th ACM International Conference on Future Energy Systems (ACM e-Energy), 28 June - July 1, 2022. Paper

Akansha Singh Bansal and David Irwin. See the Light: Modeling Solar Performance using Multispectral Satellite Data - Published in 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (Buildsys '20), November 16-19, 2020, Virtual Event, Japan. Paper
Received honorable mention under best presentation awards

Akansha Singh Bansal and David Irwin. Exploiting Satellite Data for Solar Performance Modeling - Published in 11th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), November 11-13, 2020, Virtual Conference, Arizona, USA. Paper

Akansha Singh Bansal, David Irwin. On the Feasibility, Cost, and Carbon Emissions of Grid Defection - Published in 10th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), October 21-24, 2019, Beijing, China. Paper

Akansha Singh, Stephen Lee, David Irwin, and Prashant Shenoy. SunShade: Enabling Software-defined Solar-Powered Systems - Published in 8th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), April 18-21, 2017, Pittsburgh, USA. Paper 

Akansha Singh, Jyotsna Bapat, and Debabrata Das. Distributed Health Monitoring System for Control in Smart Grid Network - Published in 11th IEEE International Conference on Innovative Smart Grid Technologies Asia, (ISGT- ASIA), 10-13 November 2013, Bangalore, India. Paper

Akansha Singh, Jyotsna Bapat, and Debabrata Das. Vulnerability Analysis of Power Grid Network against Failures by State Classification - Published in IEEE International Conference Electrical Power and Energy Conference, (EPEC) 2013, Aug. 21-23, 2013 Halifax, Canada. Paper

Short Papers/ Workshops

Akansha Singh Bansal, Trapit Bansal, and David Irwin. Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting.  Accepted in ICML Workshop on Tackling Climate Change with Machine Learning, 2021. Workshop Paper

Akansha Singh, Stephen Lee, David Irwin, and Prashant Shenoy. SunShade: Software-defined Solar Power, - Published in 7th ACM International Conference on Future Energy Systems (ACM e-Energy 2016), 21-24 June 2016, Waterloo, Canada. Poster Paper

Akansha Singh, Jyotsna Bapat, and Debabrata Das. Two Tier Communication Architecture for Smart Meter - Published in IEEE Communication Systems and Networks, (COMSNETS), 7-10 January 2013, Bangalore, India. Poster Paper

Akansha Singh, Jyotsna Bapat, and Debabrata Das. Health Monitoring in Smart Grid Using Big Data Perspective - Accepted for Presentation in 6th IBM Collaborative Academia Research Exchange, (IBM I-CARE 2014), 9-11 October 2014, Bangalore, India. Paper

AMS Talk(s) (Peer-reviewed abstracts)

Akansha Singh Bansal, Kyle Hilburn and, Imme Ebert-Uphoff. Artificial Intelligence for Low-Level Moisture from GOES-R Series - In 103rd AMS Annual Meeting, January 2023. Link

Akansha Singh Bansal, Yoonjin Lee,  Kyle Hilburn and, Imme Ebert-Uphoff. A Primer on Neural Network Architectures to Extract Information from Meteorological Image Sequences - In 103rd AMS Annual Meeting, January 2023. Link

Thesis

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

 Health Monitoring for Smart Grid Network for Prevention Against Failures, M.S. Thesis at IIIT-Bangalore, India.