Energy Footprinting

Main Idea

The goal of this project is to design a system that tracks each occupant’s personal share of energy use, or “energy footprint", inside commercial building environments and provides insights to occupants on the real-time energy impact of their actions.

Method

The system is composed of five subsystems:

• Cloud Server
• Data Storage and Retrieval
• Energy Monitoring System
• Localization System
• Client Applications

Publications

• A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings (2018)
• ePrints: A Real-Time and Scalable System for Fair Apportionment and Tracking of Personal Energy Footprints in Commercial Buildings (2017)
• Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings (2016)

Energy Saving Recommendations

Publications

• A Deep Reinforcement Learning Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings (2020)
• Energy Saving Recommendations and User Location Modeling in Commercial Buildings (2018)

Citywide Energy Footprinting

Project Page

Visit our project page here.

Publications

• A Data-driven System for City-wide Energy Footprinting and Apportionment (2021)
• Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting (2019)
• Poster Abstract: A Data-Driven System for City-Scale Personal Energy Footprint Estimations (2018)

Vehicle Flow Estimation

Publications

• City-Scale Vehicle Tracking and Traffic Flow Estimation using Low Frame-Rate Traffic Cameras (2019)