BHC3 Energy Management

Reduce energy costs for factories

BHC3 Energy Management

Reduce energy costs for refineries

Reduce Energy Costs and Improve Building Operations

BHC3 Energy Management™ uses machine learning to help enterprises gain visibility into their energy expenditures 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 analytics

Streaming energy analysis

Develop high-level and granular insights into energy trends using configurable KPIs, benchmarking, and time series visualizations.
Peak demand forecasting

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

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.
Building optimization

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

Anomaly detection

Use AI algorithms to detect operational anomalies, data issues, and billing errors.
Operator engagement

Operator engagement

Use AI-enabled segmentation, energy analytics, savings recommendations, and alerts to spur action that saves energy and improves operations.
Measurement verification

Measurement and verification

Track and report energy savings using machine learning algorithms.
Project analyzer

Project analyzer

Assemble, prioritize, and manage a portfolio of energy capital projects that maximize financial objectives.
Virtual building analytics

Virtual building audit

Enhance accuracy of building AI models and enable new analytics by collecting behavioral, operational, and building-characteristic data.
Power purchase analysis

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

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

Interoperability

Integrate data from any enterprise system, third-party source, building system, or on-site generation source. Embed insights into existing applications using APIs.

Benefits

Reduce

Reduce energy costs by 15 to 30% using predictive analytics to identify high-impact energy saving opportunities and operational improvements.

Forecast

Forecast energy demand with greater accuracy using tailored machine learning analytics that achieve greater than 80% accuracy.

Increase

Increase CapEx investment ROI by optimizing investment in building and energy infrastructure (e.g., solar, smart lighting, storage, EVs).

Automate

Automate facility management with streaming analytics and AI-algorithms that predict loads to dynamically optimize building operations.

Improve

Improve reliability by integrating on-site power, predicting peak and outage events, and optimizing demand across buildings.

Streamline

Streamline reporting for quarterly/annual reviews and financial audits.

Deploy

Rapidly deploy and configure solutions using self-service tools for AI, analytics, dashboards, and data integrations.

Data Sources

BHC3 Energy Management creates a unified federated cloud image of data from all key sources, including energy data (e.g., meter readings, utility bills), site operational data (e.g., schedules, occupancy), telemetry signals from building systems (e.g., lighting, HVAC), and third-party data (e.g., building audits, weather).

This unified data set in BHC3 AI Suite enables multi-dimensional energy analysis, predictive analytics, building optimization, and anomalous performance monitoring. BHC3 Energy Management processes data in near real time, performing continuous analyses, generating insights, and delivering recommendations through multi-channel solutions such as mobile alerts, email reports, and control signals directly to building equipment.

With a comprehensive view of data across many systems and AI-based algorithms running continuously at scale, BHC3 Energy Management empowers facilities managers to optimize building operations, reduce utilities expenditure, and achieve sustainability objectives.

Model-driven architecture for BHC3 Energy Management

Demo

Proven results in weeks, not years

timeline
Get insights into BakerHughesC3.ai’s capabilities, enterprise AI best practices, and highest-value use cases.
Understand BHC3 AI Suite's capabilities, its model-driven architecture, and test it against your company's sample data set.
Identify a high-impact business problem and collaborate with the BakerHughesC3.ai team to rapidly build an AI application that solves it.
Scale and deploy a tested BakerHughesC3.ai application into production. Incorporate user feedback and optimize algorithms to drive maximum economic value.

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