Predictive Modeling Can Help Facility Managers Drive Energy Optimization

June 15, 2021 Rachael Jernigan

Gavin Platt, Vice President Product of Acuity Brands, discusses in Industry Today the impact that predictive modeling has on driving optimal energy decisions. The article considers how moving toward automated processes by utilizing building management software and machine learning, integrated with an industrial IoT sensor network, reduces the risk of human error and amount of tedious manual assessments, and allows operators to focus on more productive areas such as energy saving tasks and identifying problems.

Predictive analytics helps facilities managers anticipate and manage the lifecycle costs of equipment. Data tracking weather pattern information can allow operators to adjust actions accordingly based off heating, cooling, lighting, and ventilation which ensures buildings are running more efficiently and saving more energy – resulting in cost savings for businesses over time.

Utilizing predictive energy modeling in a post pandemic world is an essential part of facilities adapting to unknown factors and forecasting energy expenditure throughout their buildings. Learn more by reading Gavin’s full article on the benefits of predictive modeling.

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