Presented by: Jennifer Whaley - Principle Systems Engineer, SAS. Register below for the 6th seminar of the Energy Systems Engineering Spring 2023 Seminar Series: The Janak Raj Lectures.
DATE: MONDAY, March 27, 2023
TIME: 12:00 PM - 1:30 PM Eastern Time
LOCATION - Zoom MEETING link to be sent prior to the seminar date
CONTACT US:
inesei@lehigh.edu ABSTRACT:
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.
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You acknowledge that by attending the ESE Energy Seminar Series, you will abide by the rules as detailed:
- Unless specifically requested by the speaker, all questions will be deferred to the end of the talk.
- The Director or a designee will moderate the post-talk discussion, (questions and comments should be relevant to subject in discussion).
- Students will be given first preference in the Q&A session.
Please write to
ras816@lehigh.edu if you have further questions.