C3 Energy Management

Product Overview
C3 Energy Management™ uses machine learning to help enterprises gain visibility into their energy expenditure and prioritize actions to reduce their operational costs. The application leverages advanced AI and optimization algorithms to model building operations, detect anomalies, predict energy savings opportunities, and help facilities managers take action in near real time.

• Develop high-level and granular insights into energy trends using configurable KPIs, benchmarking, and time series visualizations.
• Predict peak loads with advanced AI algorithms that use streaming energy data, building data (e.g., lighting sensors, audits, operating schedules), and weather data.
• Conduct granular energy analysis with AI-based algorithms that disaggregate consumption to identify constituent end-use loads such as heating, cooling, and lighting.
• Optimize energy costs, maintain comfort, and make effective use of on-site power supply (e.g., solar) using AI-enabled techniques.
• Use AI algorithms to detect operational anomalies, data issues, and billing errors.
• Use AI-enabled segmentation, energy analytics, savings recommendations, and alerts to spur action that saves energy and improves operations.
• Track and report energy savings using machine learning algorithms.
• Assemble, prioritize, and manage a portfolio of energy capital projects that maximize financial objectives.
• Enhance accuracy of building AI models and enable new analytics by collecting behavioral, operational, and building characteristic data.
• Evaluate real-time demand, on-site supply, utility tariffs, and market pricing for actionable insights into cost reduction opportunities.
• Visually create analytics and machine learning models. Analyze, explore, and derive business insights quickly, all without writing a single line of code.
• Integrate data from any enterprise system, third-party source, building system, and on-site generation source. Embed insights into existing applications using APIs.