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Electric Vehicle Load Management
Programs & Strategies

August 10, 1-5 PM at the Detroit Westin

This course will explore electric vehicle load management (LM) programs. Electricity providers and grid managers need to get in front of EV load management before these loads begin to impact distribution system operations. This training will educate participants on available technologies, data, applications, and existing program designs that can be used to develop actionable EV programs and plans. The course draws on experience with programs delivered for major U.S. utilities in the summer of 2022 and includes over 30 LM events.   


The overarching objective of this course is to provide information and explore lessons learned regarding technologies, approaches, and examples from the in-field deployment of EV Load Management programs including: ​​

  • Technologies and analytics available to manage EVs - including AMI data disaggregation, vehicle telematics, EV Supply Equipment (EVSE) including their benefits and limitations 

  • Proven methods for implementing both active LM and behavioral programs, including case studies of existing utility EV LM programs and lessons learned. 

  • Factors to be considered in program design -- e.g., customer experience, baseline data, sample sizes, adoption rates, and incentives. 

  • What is needed for planning EV programs, including data and information needs and program performance questions to address

  • Demonstrate how LM programs and EV roadmaps based on analytics can support community mobility plans that reach carbon goals and help address equity issues. 



Attendees will gain the knowledge and resources to create their own EV load management programs and be able to answer the following questions:

  • What are the goals of our EV program? 

  • What technologies will work best to meet those goal? 

  • What program designs are most appropriate for our customer base? 

  • How do EV load management programs mesh with other load management programs and objectives at my utility? 

  • What incentive structure will be most effective? 


The course will be valuable for anyone that is responsible for EV program opportunities. This includes electric utility personnel such as distribution planning and operations, transportation electrification, DSM teams, customer engagement staff, as well as program implementers and evaluators.   



Katie Parkinson, MSc.

Project Director, 

Apex Analytics & VP Utility Services, 

Rolling Energy Resources  

Katie designs and delivers EV load management programs for investor-owned utilities, municipalities, and G&T power providers all over the country. Her focus on the human behavior elements of program design gives her a unique perspective that produces measurable impacts for clients. Katie’s 15 years of experience in demand-side management intersects with her practical knowledge of EV managed charging programs.  She serves as the co-chair of the Peak Load Management Alliance (PLMA) electrification transportation interest group. Katie earned her undergrad degree in Economics and Environmental Studies from the University of California Santa Cruz, and a MSc in Behavioral Sciences from the London School of Economics.  


Daniel M. Violette

Ph.D., Director, 

Apex Analytics & Director, 

Rolling Energy Resources 

Dr. Violette is a recognized leader in demand-side management and data analytics in the utility industry. He is an expert in electric pricing and demand response, and has developed innovative data collection methods for analyzing and quantifying EV load management impacts. His years of experience in the design of demand-response programs include behavioral programs, direct load control, and pricing-based programs.  He has previously taught training courses at DistribuTech, and for EPRI, NARUC, and AESP.  He was also the Chair of EPRI’s innovative pricing conference for 3 years.   Dan served three terms as the Chair of the Association of Energy Service Professionals (AESP). He was a founder of the Peak Load Management Alliance (PLMA) and served two terms as Vice Chair.  Dr. Violette has evaluated over 100 DR programs. He authored PLMA position papers on DR for presentation at technical conferences at the PJM ISO, ISO NE.  Dr. Violette received his Ph.D. in Economics from the University of Colorado where he received honors in the fields of Econometrics and Industrial Organization. 


Scott Dimetrosky

Founder of Apex Analytics,

CEO of Rolling Energy Resources (RER)

With over 25 years of experience designing and evaluating energy efficiency and DR programs for utilities throughout the U.S., he brings a combination of quantitative and qualitative perspectives to the EV industry. On the quantitative side, Mr. Dimetrosky has developed EV forecasts and estimated grid impacts. On the qualitative side, he has developed transportation electrification planning studies, including EV program designs that create effective customer-utility engagement. 


Mr. Dimetrosky was a founding member and principal at Quantec, which merged with the Cadmus Group in 2008. He led some of the largest EE portfolio evaluations in the United States. Scott has delivered papers at over 25 energy efficiency conferences and taught DSM evaluation courses. He served on the Planning Committee for the International Energy Program Evaluation Conference (IEPEC) and the board of the Rocky Mountain Chapter of the Association of Energy Service Professionals (AESP). He has an M.B.A. in Marketing Research and Quantitative Methods from Cornell University and a B.A. (Magna Cum Laude) in Sociology from the University of Michigan.

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