CopperTree Analytics: Data Analytics Driven Energy Management

Climate change is real, and it is happening at a rapid pace. The Paris Agreement put forward by UN to tackle climate change in 2015, has seen 184 of 197 countries ratify to the convention until 2018. It is good that countries are stepping forward to curb the change, but with government regulations becoming stringent, the burden falls on the organizations to reduce the carbon footprint via optimized use of energy. Today, although organizations can gather energy data efficiently, they face problems to visualize and gain actionable insights from that data. Ushering the new era in visualizing energy consumption is CopperTree Analytics, offering Kaizen—a powerful ongoing commissioning and analytics tool that works in conjunction with the Building Automation System (BAS) and metering systems. The cloud-based analytics software monitors the building performance and energy consumption. Based on the data gathered, Kaizen measures it with the optimal performance guidelines, alerting if a fault is detected or the performance is below the optimal level.

While dealing with their clients the modus operandi of the company remains to leverage powerful automated data analytics methodologies, combined with human experts to identify and address energy inefficiencies. “We engage with our clients and align with their goals targeting energy efficiency, sustainability and moving from a reactive operation mode to proactive data-driven mode,” mentions Keith La Rose, Director of Sales & Marketing at CopperTree Analytics. Furthermore, the implementation usually starts with a small data logging device getting plugged in at the building level or at a centralized place where a server or data link is present; then the data is collected and sent to the cloud-based analytics platform. The algorithms, which include patented machine learning methodologies, are then applied to the received data to discover issues and faults. Those are listed in various formats within Kaizen, which users can view just by logging in to their dashboard. Moreover, they can see priorities such as energy conversion, environmental impact, potential savings, and comfort impact.