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Akansha Singh Bansal, Ph.D.
Akansha Singh Bansal, Ph.D.
Data Scientist @Bayer Crops R&D
Verified email at bayer.com - Homepage
Title
Cited by
Cited by
Year
Sunshade: enabling software-defined solar-powered systems
A Singh, S Lee, D Irwin, P Shenoy
Proceedings of the 8th International Conference on Cyber-Physical Systems, 61-70, 2017
112017
Two tier communication architecture for smart meter
A Singh, J Bapat, D Das
2013 Fifth international conference on communication systems and networks …, 2013
102013
Exploiting satellite data for solar performance modeling
AS Bansal, D Irwin
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
62020
A moment in the sun: solar nowcasting from multispectral satellite data using self-supervised learning
AS Bansal, T Bansal, D Irwin
Proceedings of the thirteenth ACM international conference on future energy …, 2022
52022
Distributed health monitoring system for control in smart grid network
A Singh, J Bapat, D Das
2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-6, 2013
52013
Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting
AS Bansal, T Bansal, D Irwin
42021
See the light: Modeling solar performance using multispectral satellite data
A Singh Bansal, D Irwin
Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020
42020
On the feasibility, cost, and carbon emissions of grid defection
AS Bansal, D Irwin
2019 IEEE International Conference on Communications, Control, and Computing …, 2019
32019
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
A Bostrom, JL Demuth, CD Wirz, MG Cains, A Schumacher, ...
Risk Analysis, 2023
22023
SunShade: software-defined solar systems
A Singh, S Lee, D Irwin, P Shenoy
e-Energy '16 Proceedings of the Seventh International Conference on Future …, 2016
22016
Vulnerability analysis of power grid network against failures by state classification
A Singh, J Bapat, D Das
2013 IEEE Electrical Power & Energy Conference, 1-6, 2013
22013
Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks
AS Bansal, Y Lee, K Hilburn, I Ebert-Uphoff
Environmental Data Science 2, e31, 2023
12023
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks
AS Bansal, Y Lee, K Hilburn, I Ebert-Uphoff
arXiv preprint arXiv:2210.12310, 2022
12022
Artificial Intelligence for Low-Level Moisture from GOES-R Series
AS Bansal, KA Hilburn, I Ebert-Uphoff
103rd AMS Annual Meeting, 2023
2023
A Primer on Neural Network Architectures to Extract Information from Meteorological Image Sequences
AS Bansal, Y Lee, KA Hilburn, I Ebert-Uphoff
103rd AMS Annual Meeting, 2023
2023
Using Artificial Intelligence to Analyze Satellite Earth Observations
AS Bansal, D Rao
103rd AMS Annual Meeting, 2023
2023
Climate Science Insights from Artificial Intelligence
AS Bansal, D Fan
103rd AMS Annual Meeting, 2023
2023
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning
A Singh Bansal, T Bansal, D Irwin
The Thirteenth ACM International Conference on Future Energy Systems (ACM e …, 2022
2022
Data-Driven Control, Modeling, and Forecasting for Residential Solar Power
AS Bansal
https://scholarworks.umass.edu/dissertations_2/2415/, 2022
2022
Health Monitoring in Smart Grid Using Big Data Perspective
A Singh, J Bapat, D Das
2014
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