William Burke

William Burke

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Founder and CEO
Louisville, Kentucky, United States

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Résumé

Jobs verified_user 0% verified
  • Virtual Peaker
    Founder and CEO
    Virtual Peaker
    Apr 2015 - Current (11 years 6 months)
    VIrtual Peaker is a software as a service company that provides holistic control and scheduling of residential demand for the electric utility industry. We specialize in real-time optimization in the presence of dynamic pricing tariffs, but we also provide more traditional demand response and demand scheduling services. In my role as CEO, I am responsible for technology and business development.
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    Hustle and Muscle
    Billstron Industries
    May 2014 - Current (12 years 5 months)
    I do engineering contract work. I'm a mechanical engineer with over 10 years of software development experience. I write code and develop hardware products.
  • Calculingua
    CEO
    Calculingua
    May 2012 - Dec 2014 (2 years 8 months)
    Calculingua is a web application for scientists and engineers that is modernizing knowledge creation. I'm the founder, and I currently wear all of the hats -- development, marketing, and sales. I'm hoping to change that very soon.
  • GE
    Advanced Systems Engineer
    GE
    Jun 2010 - May 2014 (4 years)
    Broadly, my responsibility is the research and development of advanced algorithms and software related to home energy management and the connected home. In my role, I work on technology that is from 6 months to 5 years from adoption. The following is a sample of successful projects I lead: I developed an HVAC energy learning algorithm. I designed an application store paradigm for the connected home. I specified and prototyped a distributed restful architecture for real-time communications over XMPP.
  • EcoFactor
    Algorithm Consultant
    EcoFactor
    Sep 2009 - Apr 2010 (8 months)
    I developed learning and identification software for residential energy customers. I wrote software in Java and implemented it in the cloud.
  • UC Berkeley
    Graduate Student Researcher
    UC Berkeley
    Aug 2006 - May 2010 (3 years 10 months)
    My research focused on the application of Control Theory to grid level energy consumption systems. Primarily, I focused on controlling the power consumption of groups of homes using programmable communicating thermostats (PCTs). In 2007, I was part of the team that prototyped the first PCT. In that team, my role was in software development and design. Beginning in 2008, I examined how to control the aggregate power demand of neighborhoods of PCTs using feedback control techniques and game theoretic algorithms.
  • Holochip Corporation
    Control Engineering Consultant
    Holochip Corporation
    Aug 2005 - Sep 2005 (2 months)
    I designed and built a prototype fluid-filled lens. I was responsible for the control hardware, electronics development, and testing.
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    Development Engineer
    NanoMuscle
    Aug 2004 - Nov 2004 (4 months)
    I worked on product development for automotive actuators. I was tasked with solving a problem he had with switch contact that shortened the life of the automotive actuators. I designed and build the Billstron. It was an Instron like machine with the sole purpose of testing and sorting our automotive actuators. This project exercised all of my analytical, software, and mechanical design skills. I designed the test fixtures, load cells, and moving stage. I wrote the software using LabView. Through experimentation, I determined the correct test procedure.

    The start-up failed in Nov 2004.
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    Field Applications Engineer
    NanoMuscle
    Jan 2004 - Aug 2004 (8 months)
    I was responsible for sales related application support of our rotary actuators. My role included product prototyping and design, as well as sales calls and attending to customers.
  • LEXMARK INTERNATIONAL INC
    Development Engineer
    LEXMARK INTERNATIONAL INC
    May 2000 - Sep 2003 (3 years 5 months)
    I worked in hardware development and motion control design and analysis for ink-jet printers and scanners.
Education verified_user 0% verified
  • UNIVERSITY OF CALIFORNIA BERKELEY
    Doctor of Philosophy (PhD, Mechanical Engineering, Controls, Energy, Machine Learning
    UNIVERSITY OF CALIFORNIA BERKELEY
    Jan 2005 - Jan 2010 (5 years 1 month)
    Control of Residential Load Management Networks Using Real Time Pricing
  • University of Kentucky
    Bachelor of Science (BS, Mechanical Engineering
    University of Kentucky
    Jan 1995 - Jan 2000 (5 years 1 month)
    I studied Mechanical Engineering, and I graduated Summa Cum Laude.
Projects (professional or personal) verified_user 0% verified
  • C
    Calculingua
    Jun 2012 - Current (14 years 4 months)
    Calculingua is a web application for scientists and engineers to do mathematical computation and analysis. It is like Google Docs for math.
Awards verified_user 0% verified
  • I
    Summa Cum Laude
    Issued by University of Kentucky
Publications verified_user 0% verified
  • I
    Real-time Dynamic House Thermal Model Identification for Predicting HVAC Energy Consumption
    IEEE Green Technologies Conference Apr
    This paper presents a real-time algorithm to predict the energy consumption of the heating, ventilation, and air conditioning (HVAC) system at home. The autoregressive model with exogenous inputs (ARX model) is used to identify the house thermal model. The ARX model, with the thermostat controller, is simulated to obtain the future state of the HVAC system with the knowledge of the weather forecast data obtained from a weather server. The utility bill for the HVAC system can be estimated if a real-time price model is provided, thereafter. The proposed method is validated by experimentation in a particular home using GE Nucleus energy management system for data aggregation and algorithm implementation. The experimental results show that the
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    Low-Frequency Pulse Width Modulation Design for HVAC Compressors
    The ASME International Design Engineering Technical Conferences Aug
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    Residential Electricity Auctions with Uniform Pricing and Cost Constraints
    IEEE North American Power Symposium Oct
    This paper considers electricity auctions as auctions of a divisible good when the bidders have soft cost constraints. Soft cost constraints are such that the bidder proportionally reduces the desired quantity when the price is over a defined threshold. We prove a policy-consistent mechanism to allocate the goods using uniform pricing. Further, the mechanism is communication efficient and polynomial time computable. We finish by describing how the auction mechanism could work for residential real time electricity pricing using intelligent programmable communicating thermostats.
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    Residential Load Managing Products in Smart Grid
    NEMA Electro Industry Jun
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    Smart Appliances Energy Study
    Int Journal of Computers and their Applications Sep
    The purpose of this paper is to discuss an in-depth demand side management (DSM) study being performed by General Electric (GE) in conjunction with the Tennessee Valley Authority (TVA), and the Glasgow Electric Plant Board (GEPB) of Glasgow, Kentucky. GE has contracted the University of Louisville to perform data analysis for this study. The study is separated into multiple phases each of which is approximately three (3) months in length. Different demand response (DR) strategies are tested during these phases and energy consumption is measured. The study is ongoing, but this paper will be focused on completed phases and their results. These results include the energy performance of ENERGY STAR smart appliances, as well as the effects of tw
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