Rohan DASGUPTA

Energy Prediction and Optimization on Buildings Using EnergyPlus, Machine Learning, and Deep Reinforcement Learning

Started Nov. 17, 2022

Abstract or project description

Rohan will be working on developing predictive and control-based methods for optimizing energy consumption in buildings using new techniques in supervised learning, energy simulation through EnergyPlus, and state-of-the-art deep reinforcement learning algorithms. He is working to build out various components of this predictive energy control architecture in Python using simulation and AI tools. He is also looking into developing an RL environment that can be used for learning predictive and efficient energy control in buildings that is learned from the results of EnergyPlus simulations. Rohan is very interested in how AI/ML can be applied for IoT applications given the immense scope and impact the development and integration of these novel predictive approaches can have for society at large.