In this article we drill into why Monitoring & Targeting often doesn't deliver on its true savings potential and how Machine Learning can overcome this. Net Zero has never been a bigger topic. Amongst the sea of Science Based Targets and long term reduction strategies, it's clear that there is no single answer to reaching net zero and for most organisations it's a marathon not a sprint. However many businesses are looking again at what they can do in the short term to make an immediate impact. Reducing demand is the first step of any energy hierarchy and utilising data in a commercially-viable way is critical to this.

A new product has been launched today which brings machine learning into the energy management arena. Reduct is the new game-changing platform developed by Verco. Many users of Monitoring & Targeting (M&T) platforms will know about the benefits but also the challenges that exist in extracting value from their system. The market is now flooded with a broad range of M&T systems, with varying degrees of flexibility on data collection, analysis tools and reporting outputs. However all such systems are constrained by the time available for skilled people to review the data and identify areas for improvement.