Utilities
Transforming utilities with Enterprise AI
Improve Asset Health and Increase Customer Engagement
C3.ai helps utilities use all relevant data sources that underpin machine learning models to enhance grid asset management and forecasting systems, boost energy-efficiency initiatives, and enrich customer service offerings and engagement, all through real-time predictive insights.
Applications
Predict asset failures across generation, transmission, and distribution systems to reduce costs and maximize uptime. C3.ai Predictive Maintenance uses supervised and unsupervised machine learning algorithms to analyze streaming data across sensor, SCADA, and asset management systems, as well as technician notes and weather, to detect anomalies and predict malfunctions before they occur.
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Improve utility program effectiveness, increase customer engagement, and enable new products and services by providing a 360-degree view of customers and proactively identifying accounts at risk (e.g., call center, low CSAT) or most likely to participate in critical initiatives. C3.ai Customer Insight uses machine learning-based customer segmentation models that analyze data from internal customer systems (e.g., CRM, billing) and external sources (e.g., demographic) to deliver actionable customer insights for more effective targeting and richer engagement.
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Empower customers to reduce energy costs and improve building operations through real-time tracking, analytics, and optimization. C3.ai Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, building optimization, demand response, and anomaly detection to lower costs, improve building operations, and meet utilities’ and their customers’ shared energy-efficiency goals.
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Proactively identify instances of energy theft to protect core revenues, at higher accuracy and lower cost than conventional rules-based approaches. C3.ai Fraud Detection uses supervised machine learning algorithms to correlate disparate enterprise systems and high-frequency transactions to pinpoint fraudulent activity and support advanced pipeline management for efficient resolution and revenue recovery.
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Reduce operating expenses associated with AMI and other IoT sensor deployments by identifying and predicting sensor and network health issues. C3.ai Sensor Health uses supervised and unsupervised machine learning techniques to prioritize meters projected to malfunction and enable a managed workflow for efficient triage and resolution of issues.
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Use Cases
Distributed Energy Resource Management
Optimize management of distributed energy resources by integrating and organizing all relevant and real-time data across systems and sensor networks. Through the C3 AI Suite, enable secure API access to that data for a utility’s grid edge control and operational platforms. With the C3 AI Suite, utilities can build AI applications that work with these grid systems to cohesively manage distribution asset capacity constraints, mitigate active and reactive voltage issues, address resource intermittency, facilitate and accelerate DER penetration (specifically, distributed PV systems), and enable the dispatch of DERs to respond to real-time market conditions.
Digital Customer Experience
Revamp and streamline the customer experience using an AI-enabled digital experience that delivers relevant, real-time, and secure information through a mobile app and/or modern web interface. The C3 AI Suite enables utility customer teams to build applications that plug insights into the customer journey, using advanced machine learning algorithms to provide detailed energy usage information and personalized energy savings recommendations, promote new products and services to high propensity customer segments, and send timely alerts including outage ETRs and high-bill warnings, averting costly calls to call centers.
Grid Investment Planning
Use big data analytics and predictive modeling to help utility infrastructure teams create investment plans that meet capital availability constraints and desired safety and reliability goals while increasing transparency of allocation decisions for tangible and intangible benefits. With the C3 AI Suite, utility asset investment planners can use advanced optimization techniques to develop and compare different capital allocation scenarios to identify the most effective investment plan across the portfolio.
Grid Cybersecurity
Reduce grid cybersecurity vulnerability and penetration risk by providing utility security teams with advanced diagnostics and predictive tools to identify, prioritize, and block potential grid cybersecurity threats. With the C3 AI Suite, utilities can build predictive applications that enable operators to quickly prioritize security resources to address network and grid assets that have the most significant potential impact on operational safety, reliability, and integrity. By enabling earlier and faster resolution of high-priority vulnerabilities, grid cybersecurity applications built on the C3 AI Suite equip operators to address and remediate at-risk equipment and networks.
Estimated Time of Restoration
Improve the efficiency and speed of outage response by predicting where outages due to asset failure are likely to occur, thereby mitigating the impact of outages and reducing restoration costs. With the C3 AI Suite, utilities can build applications that reduce restoration time and costs and improve customer satisfaction by applying predictive analytics to consolidated data from weather, GIS, DMS, AMS, CIS, MDM/AMI, OMS, WMS, and other systems to generate improved estimated times for restoration.
Address use cases with the C3 AI Suite
The C3 AI Suite is a purpose-built platform for developing and operating AI applications that address industry and company-specific use cases. It offers a cohesive, low-code/no-code development environment with a complete and comprehensive set of tools and services to design, build, deploy, and operate advanced, enterprise-scale AI applications.
Case Studies
Operating the Largest Production Deployment of AI and IoT Applications
AI applications including predictive maintenance and fraud detection for 44 million smart meters.
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Realizing Global 100 Enterprise-Wide Digital Transformation
Enterprise-wide digital transformation of the largest power producer in the world.
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Creating a Refined Customer Experience
Targeted insights and tailored recommendations about energy use for 3.6 million residential and commercial customers.
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Driving Network Efficiency and Fraud Detection Efforts
Advanced infrastructure and energy management across 2 million sensors and devices.
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Testimonials
Olivier Sala
Managing Director, ENGIE Digital
“C3.ai has played a major role in ENGIE's digital transformation for the last three years.”
Stephanie Bailey
Sr. Director, Business Systems Delivery
“What we had out of C3.ai was a product, eagerness, the ability to deliver, and the ability to understand our data. That was a winner. It’s a small company that acts in a big way.”
Proven results in weeks, not years
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