From Data to Decisions: Revolutionizing Building Energy Management

Solutions We Offered

Capital Numbers dove straight into the project, using Python-powered ETL processes to give this unruly data, flooding in from FTPs, emails, APIs, and spreadsheets, some much-needed structure that standardized raw sets into analyzable formats.

However, this wasn’t an average data cleanup. We had to handle 330 million energy readings, 35 million water readings, and 10 million gas readings yearly. That’s why we went big on building a scalable, rock-solid data pipeline designed to handle the ETL flow like a pro.

To make it super easy for operators to extract insights, we set up two focused data marts - one for state-level energy data and another for building-level details. All of this sat on a powerhouse PostgreSQL database, capable of managing millions of records across energy, water, and gas consumption.

Once we got the data flow into shape, we ensured the clean data became the heart of a sleek, interactive dashboard powered by React.js and D3.js. With crystal-clear charts showing energy usage and carbon emissions, decision-making got smarter and faster.

We didn’t just show the present - we predicted the future. Using Python, Pandas, and Scikit-learn, we built machine learning models to churn out 5-day energy consumption forecasts. These models did the heavy lifting, surfacing hidden inefficiencies and opportunities that would’ve otherwise gone unnoticed.

We didn’t stop there. With automated submeter analytics, we pinpointed inefficiencies in everything from water heaters to lighting, elevators, pumps, and even kitchen appliances. By shining a light on these energy-draining areas, we helped cut costs down to the smallest detail.

And then came the game-changer: real-time tracking. By integrating the EventZero API and a notification system, we made energy consumption and carbon emissions trackable every 15 minutes. Operators didn’t just get insights - they got alerts for unusual patterns, giving them the power to act on issues the second they surfaced.

This solution, hosted using AWS, was all about cracking the code of data engineering and visualization. By blending cutting-edge tech with solid solutions, we turned mind-boggling complexity into crystal-clear insights to help buildings run greener and smoother.