AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Peeyush Kumar
Senior Research Scientist
Publications
Publications by Year
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Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, Vol 42(1): pp. 69-77
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Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
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Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
-
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
-
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
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Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
Publications by Research Area
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
Peeyush Kumar, Doina Precup
August 2014
Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Community Economics for AI Powered Micro-Grid
September 2023
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Community Economics for AI Powered Micro-Grid
September 2023
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, Vol 42(1): pp. 69-77
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
Publications by Type
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
Published by Microsoft
-
Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, Vol 42(1): pp. 69-77
-
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
-
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
Peeyush Kumar, Doina Precup
August 2014