design. communicate. educate.
ENERGY + DATA
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What I Do

Design

Design and implement tools for gathering, analyzing, and visualizing diverse energy data sets

Communicate

Communicate complex technical information in an approachable and engaging format for diverse audiences

Educate

Educate undergraduate and graduate students in data analysis and project management skills through project team-based learning

Projects

A Sampling of Projects.

Smart Meter Analytics

Smart Meter Analytics

Applied Machine Learning

Solar Energy Estimation

Solar Energy Estimation

Applied Pattern Recognition

Data Visualizations

Data Visualizations

Interactive Data Exploration

Energy Storage

Energy Storage

System Simulation

Wind and Solar Integration

Wind & Solar Integration

Statistical Modeling

Bass Connections Team

Bass Connections Team

Instructional Design

Data Plus

Data+

Student Research Mentorship

Energy and Behavior

Energy & Behavior

Energy Feedback Experiment

Arduino Power Meter

Arduino Power Meter

Classroom Lab Module

Publications

Download CV

Papers

  • Automatic solar photovoltaic panel detection in satellite imagery.

    Malof, Hou, Collins, Newell, Bradbury, 2015
  • Performance Comparison Framework for Energy Disaggregation Systems.

    Czarnek, Morton, Collins, Newell, Bradbury, 2015
  • Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets.

    Bradbury, Pratson, and Patino-Echeverri, 2014
  • The Potential of Energy Storage Systems with Respect to Generation Adequacy and Economic Viability

    Bradbury, 2013
  • Energy Storage Technology Review

    Bradbury, 2010
  • Hidden Markov Models

    Bradbury, 2008
  • Covert Binary Communications through the Application of Chaos Theory: Three Novel Approaches

    Bradbury and Noonan, 2007

Presentations

  • Overview of Machine Learning

    Data+ Speaker Series, 2015 (click here for Matlab code)
  • Energy Efficiency

    HackDuke: Code for Good, 2014
  • Building Energy Data Analytics – an Overview with a focus on Energy Disaggregation

    RTI International, 2014
  • Electric Power Systems

    Energy Industry Fundamentals, 2014 (click here for video)
  • Power Markets

    Energy Industry Fundamentals, 2013
  • The Potential of Energy Storage Systems with Respect to Generation Adequacy and Economic Viability

    Dissertation Defense, 2013

Video/Podcasts

  • Estimating U.S. Solar Capacity through Machine Learning

    Data+ Summer 2015
  • Energy Data Analytics Lab

    Energy Industry Fundamentals, 2015
  • Overview of the Energy Data Analytics Lab

    Duke University Energy Research Collaboration Workshop, 2015
  • “The Measure of Everyday Life” episode discussing energy efficiency

    Podcast appearance, hosted by Dr. Brian Southwell on WNCU 90.7 FM, Jan 27, 2014
  • Electric Power Systems

    Energy Industry Fundamentals, 2014
  • Design and Implementation of an Energy Data Analysis System

    Duke University Energy Researcher Workshop, 2014
  • Design and Implementation of an Energy Disaggregation System

    Duke University Energy Researcher Workshop, 2013
  • Energy Efficiency

    HackDuke: Code for Good, 2014

Contact / About

Kyle Bradbury

Kyle Bradbury

Managing Director, Energy Data Analytics Lab

Current Position: Managing Director, Energy Data Analytics Lab

Employer: Duke University Energy Initiative

About: I bring experience in machine learning and statistical modeling to energy problems. I completed my Ph.D. at Duke University, with research focused on modeling the reliability and cost trade-offs of energy storage systems for integrating wind and solar power into the grid. I hold a M.S. in Electrical Engineering from Duke University where I specialized in statistical signal processing and machine learning, and a B.S. in Electrical Engineering from Tufts University. I have worked for ISO New England, MIT Lincoln Laboratories, and Dominion.

Education:

  • Doctor of Philosophy, Duke University, Energy Systems (Earth and Ocean Sciences Dept.), 2013
  • Master of Science, Duke University, Electrical Engineering, 2008
  • Bachelor of Science, Tufts University, Electrical Engineering, 2007

Hobbies: guitar, running, biking, and the occasional web design