About this Event
Register today for the sixth installment of the semester of Energy Systems Engineering Spring 2023 Seminar Series: The Janak Raj Lectures.
Presented by: Jennifer Whaley, Principle Systems Engineer, SAS
TIME: 12:00 PM Eastern Time
LOCATION - ZOOM MEETING link to be sent prior to the seminar date
CONTACT US: email@example.com
Load forecasting is a critical planning function performed by electric utilities to ensure the supply of electricity meets demand. The planning begins by forecasting electricity demand five to 30 years in the future, and then narrowing a near-term view of the next hour’s electricity demand. Historical patterns of electricity consumption, weather conditions, regional events and economic indicators represent when and how much electricity is used.
Distributed energy resources, demand swings, and additional regulatory requirements are complicating the load forecasting process. As renewable energy resources increase, the necessity for robust modeling techniques for the load forecasting requirements becomes crucial. Integrating distributed energy resources located within the distribution system—rooftop solar photovoltaic, electric vehicles, demand response—requires the analytics of load forecasting to know when, how much, and where these resources are contributing on the power grid, while also balancing the amount of traditional generating resources to meet demand.
Join us for this seminar to learn how analytics are applied to the many aspects of load forecasting – from short-term to long-term planning horizons, and from traditional load forecasting to integrated distribution planning.
Bio: Jennifer Whaley is on the US Energy team providing support to utilities across the United States. She has over twenty-five years of industry and consulting experience in the electric utility industry.
Jennifer’s background includes industry and consulting experience within the electric utility industry, with a focus on generation planning, load forecasting, economic analyses and statistical analyses. She enjoys working with customers to solve business problems using advanced analytics – particularly emerging topics pertaining to load forecasting and the challenges of incorporating distributed energy resources on the grid and improving renewable forecasts for the energy needs of the future.
Jennifer is a frequent presenter at industry conferences, and she volunteers as a SAS representative for university career fairs. She is also a spokesperson on behalf of SAS as a female data scientist for the Women’s Initiative Network.
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