Data utilization holds the promise of tying together the utility role in managing a massive grid with the exciting, but challenging energy transition of distributed energy, intermittent generation resources and interconnections.
A Tuesday webinar hosted by Utility Analytics Institute will focus on a new survey about quantitative optimization involving respondents from throughout the industries tied to the grid. The UAI is made up of members from the utility and connected equipment manufacturers (OEMs) and service providers.
The future is bright but mainly because AI, predictive technologies and data can bring it all together to optimize resources and corral the threat of chaos lurking in so many bits of data. In the UAI survey, 58 percent of respondents reported that they experienced and anticipated increased efficiency and performance from using mathematical optimization.
By contrast, a majority of respondents noted that problem-solving and managing O&M expenditures suffered when quantitative optimization was not used.
The webinar will reveal more. Beginning 11 a.m. ET Tuesday, UAI Senior Research Analyst Sandi Joralemon will be joined by Jason Morris, account director at decision intelligence technology firm Gurobi Optimization, for an hour-long session detailing results from the UAI survey and other deeper insights about power company analytics trends. Gurobi Optimization is sponsored of the report and webinar.
Registration is free. The two panelists will answer questions live from attendees.