As more and more utilities begin to incorporate new software solutions into demand response, terms like “artificial intelligence,” “analytics,” and “machine learning” are increasingly becoming a part of the utility lexicon. However, all too frequently these terms are used to justify unrealistic or misleading product claims, leaving utilities to sort fact from fiction in procurement decisions.
In order to effectively assess demand response performance claims, utilities must understand the true capabilities of modern demand response software. As an innovator in demand response over the past decade, EnergyHub understands how artificial intelligence, analytics, and machine learning — when properly deployed — can improve the effectiveness of utility programs, as well as what their limits are. In this webinar, we will share our experience to provide insights for critically evaluating demand response solutions and results.
Topics covered will include:
- How to accurately measure demand response event performance in ways that mirror program goals
- Where artificial intelligence and analytics bump up against fundamental physics while enhancing demand response and energy efficiency performance
- How event parameters and conditions can be manipulated to create artificially attractive results
- The different dimensions of demand response performance and their tradeoffs
Join this free 30-minute webinar January 19, 2018 at 2 p.m. ET/11 a.m. PT, co-hosted by Matt Johnson, VP of Business Development, and Ben Hertz-Shargel, VP of Analytics. We hope to see you there!
