Lucas Spangher

Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework

Akash Gokul, Costas Spanos, Manan Khattar, 2020, e-Energy.

Engineering vs. Ambient type visualizations: Quantifying effects of different data visualizations on energy consumption

Costas Spanos, Akaash Tawade, Alex Devonport, 2019 .

Characterizing fusion market entry via an agent-based power plant fleet model

Lucas Spangher, J. Scott Vitter, Ryan Umstattd, 2019, Energy Strategy Reviews.

Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control

Costas Spanos, Utkarsha Agwan, Lucas Spangher, 2021, e-Energy.

Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs

Costas Spanos, Utkarsha Agwan, Manan Khattar, 2021, BuildSys@SenSys.

Pricing in Prosumer Aggregations using Reinforcement Learning

Costas J. Spanos, Kameshwar Poolla, Utkarsha Agwan, 2021, e-Energy.

Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response

Costas Spanos, Utkarsha Agwan, Manan Khattar, 2021, e-Energy.