C3 AI - Energy Management Software
From C3 AI Applications
Reduce Energy Costs and Improve Building Operations: C3 AI® 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.
Features
Streaming energy analysis
Develop high-level and granular insights into energy trends using configurable KPIs, benchmarking, and time series visualizations.
Peak-demand forecasting
Predict peak loads with advanced AI algorithms that use streaming energy data, building data (e.g., lighting sensors, audits, operating schedules), and weather data.
End use disaggregation
Conduct granular energy analysis with AI-based algorithms that disaggregate consumption to identify constituent end-use loads such as heating, cooling, and lighting.
Whole building optimization
Optimize energy costs, maintain comfort, and make effective use of on-site power supply (e.g., solar) using AI-enabled techniques.
Anomaly detection
Use AI algorithms to detect operational anomalies, data issues, and billing errors.
Operator engagement
Use AI-enabled segmentation, energy analytics, savings recommendations, and alerts to spur action that saves energy and improves operations.
Measurement verification
Track and report energy savings using machine learning algorithms.
Project analyzer
Assemble, prioritize, and manage a portfolio of energy capital projects that maximize financial objectives.
Virtual building audit
Enhance accuracy of building AI models and enable new analytics by collecting behavioral, operational, and building characteristic data.
Power purchase analysis
Evaluate real-time demand, on-site supply, utility tariffs, and market pricing for actionable insights into cost reduction opportunities.
Self-service data science
Visually create analytics and machine learning models. Analyze, explore, and derive business insights quickly, all without writing a single line of code.
Interoperability
Integrate data from any enterprise system, third-party source, building system, and on-site generation source. Embed insights into existing applications using APIs.
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