Easwar Subramanian

According to our database, Easwar Subramanian authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-armed Bandit Based Tariff Generation Strategy for Multi-agent Smart Grid Systems.

Sanjay Chandlekar, Easwar Subramanian, Sujit Gujar

Proceedings of the Engineering Multi-Agent Systems - 11th International Workshop, 2023

A Nash Equilibrium Solution for Periodic Double Auctions.

Bharat Manvi, Easwar Subramanian

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs.

Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat

CoRR, 2022

VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids.

Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids.

Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Bidding Strategy for Two-Sided Electricity Markets: A Reinforcement Learning based Framework.

Bala Suraj Pedasingu, Easwar Subramanian, Yogesh Bichpuriya, Venkatesh Sarangan, Nidhisha Mahilong

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy.

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version).

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat

CoRR, 2019

Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates.

Narendhar Gugulothu, Easwar Subramanian, Sanjay P. Bhat

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets.

Easwar Subramanian, Yogesh Bichpuriya, Avinash Achar, Sanjay P. Bhat, Abhay Pratap Singh, Venkatesh Sarangan, Akshaya Natarajan

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks.

Narendhar Gugulothu, Easwar Subramanian

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition.

Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015

Discrete-Time Quadratic-Optimal Hedging Strategies for European Contingent Claims.

Easwar Subramanian, Sanjay P. Bhat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

On Accelerating Concurrent PCA Computations for Financial Risk Applications.

Anubhav Jain, Mayank Bakshi, Amit Kalele, Easwar Subramanian

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

2014

Explicit solutions of discrete-time quadratic optimal hedging strategies for European contingent claims.

Easwar Subramanian, VijaySekhar Chellaboina

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014