October 17 Data Science Community - Leveraging Weather and Climate Data for Power System Application

When:  Oct 17, 2023 from 13:00 to 14:00 (CT)

Join the Data Science Community on Tuesday, October 17, 2023 at 1:00 PM CT for a presentation with Q&A and open discussion on "Leveraging Weather and Climate Data for Power System Applications" led by Erik Smith, Climate Resilience Analyst, Energy Systems and Climate Analysis Group at EPRI.

Session Description:

Energy companies, regulators, policymakers, and other industry stakeholders require science-based insights about the future power system and the climate conditions under which it will operate to identify optimal adaptation and resilience investments. To meet this need, EPRI is leading two major initiatives, the Climate READi Initiative and the Load Forecasting Initiative. Through the Climate READi initiative, EPRI is leveraging its collaborative model to convene the global thought leaders and scientific researchers necessary to build an informed and consistent approach to facilitate analysis and application of climate data, while the Load Forecasting Initiative is focused on improving short-term load forecasts as well as developing a framework for long-term load forecasts. This talk will provide an overview of ongoing work in these initiatives to assess currently available climate data and provide guidance for using this data in power system applications. It will also discuss data gaps (i.e., lack of hourly climate projections) and current methods being implemented to fill those gaps. Lastly, this talk will touch on ongoing work to leverage weather and climate data for improved operational and long-term load forecasting. 

Members of the Data Science Community will receive a Microsoft Teams link prior to this meeting. Not a member of this community? UAI Utility Members can register for any of our communities by using our Request To Join link. 


Dial-in Instructions:
Microsoft Teams link will be provided to UAI Community Members prior to this meeting.


Kevin Praet