Have you noticed how much easier it is to buy something that you will pay off in a month- vs taking out all the funds from your checking account right now? It's the reason companies like Affirm are all over e-commerce these days. All those buy-now-pay-later commercials on TV work. Energy bills have the same effect. In most cases electricity and natural gas are charged on a monthly basis - this adds yet another level of dissonance between the energy used and the direct hit to the bottom line.

Historically IESO data has worked out well. For the past 10 years, proactive Class A customers have been able to hit all 5 coincident peaks with 10-14 curtailments. Depending on your definition of curtailments and how much time you need to react, 14 curtailments a year to save up-to 40% on your hydro bill is a worthwhile endeavor.

With the increased number of ICI participants and embedded energy resources like generators and battery storage coming onto the grid, predicting the top 5 coincident peak hours is increasingly difficult. Read on to learn why AI is a necessity for predicting the Top 5 Peaks.

Demand Response (DR) programs are used by many system operators to improve grid reliability. Unfortunately, most of the available literature will give you very technical and complex answers when describing DR. This blog post aims to explain DR in digestible and straightforward terms.

The energy “duck curve” is a term used to describe the shape of a graph that represents the daily electricity demand and […]