Industries
Data and AI Solutions for Energy and Utilities
Forecast demand, manage grid assets, integrate distributed energy and serve customers better with data platforms, IoT and AI built for critical infrastructure.
Run a More Reliable, Flexible and Cleaner Energy System
Electricity, gas, water and district energy providers face a transition unlike any before. Rooftop solar, batteries, electric vehicles and heat pumps are turning customers into producers, while large new loads such as data centers are reshaping demand forecasts and interconnection queues. At the same time, aging assets, extreme weather and wildfire risk put reliability under pressure. Data from smart meters, SCADA, sensors, drones and weather models is the key to managing this complexity.
Hanoi Technology helps utilities and energy companies turn that data into operational decisions. We build grid and asset data platforms that bring IT and OT data together, forecasting and optimization models for load, generation and flexibility, and customer analytics that support new tariffs and programs, all designed with the cybersecurity expectations of critical infrastructure, such as NERC CIP and IEC 62443, in mind.
The Challenge
The Data Challenges Facing Energy and Utility Companies
The grid is becoming more distributed, more digital and more demanding of real-time decisions.
Rising, Less Predictable Demand
Electrification of transport and heating, plus large new loads such as data centers, make historical load patterns a poor guide. Planners need granular forecasts by feeder and substation, not just system-wide averages.
Distributed Energy and Two-Way Flows
Rooftop solar, batteries and EV chargers create reverse power flows and voltage issues on networks designed for one-way delivery. Operators need visibility into resources they do not own or control.
Aging Assets and Climate Risk
Transformers, poles, pipes and cables are reaching end of life while storms, heat waves and wildfires increase stress on them. Time-based maintenance cannot prioritize limited budgets effectively.
Siloed IT and OT Data with Strict Security
Meter data, SCADA, GIS, asset management and customer systems rarely share a common model. Connecting them must respect critical infrastructure security requirements and network segmentation.
Business Value
What Modern Data and AI Deliver for Utilities
Accurate, Granular Forecasting
Forecast load, solar and wind output and EV charging at feeder and substation level. Operations and planning teams commit capacity and capital with more confidence.
Risk-Based Asset Management
Asset health scores combine condition, age, loading and environmental exposure. Maintenance and replacement budgets go where the risk of failure is highest.
Better Integration of Distributed Energy
Visibility and forecasts of distributed energy resources support hosting capacity analysis and flexibility programs. More renewables connect without unnecessary reinforcement.
Faster Outage Response
Smart meter events, weather and network models help locate faults and predict restoration times. Crews are dispatched sooner and customers receive accurate updates.
Reduced Losses and Theft
Meter data analytics detect consumption anomalies, tampering and leaks in electricity, gas and water networks. Revenue protection teams target field visits effectively.
Engaged, Informed Customers
Personalized insights, tariff recommendations and program targeting help customers save energy and shift usage. Contact centers handle fewer billing disputes.
Data Is Becoming Grid Infrastructure
Utilities have always invested in poles, wires and pipes. Increasingly, the ability to see and forecast what happens on those networks, minute by minute and feeder by feeder, is just as important to reliability and affordability. We help utilities build that capability as a durable platform, not a series of disconnected pilots.
Our Services
Our Energy and Utilities Solutions
Six solution areas that connect grid, asset and customer data to operational decisions.
Grid and Asset Data Platforms
We build platforms that unify meter data, SCADA and historian data, GIS, asset registers and work orders around a common network model, with OT security in mind.
- IT and OT data architecture
- Pipelines from MDMS, SCADA, GIS and EAM
- Common Information Model (CIM) based data model
Load and Generation Forecasting
We develop short-term and long-term forecasts for load, renewables and new loads such as EV charging, using weather, calendar, meter and economic data.
- Feeder and substation forecasts
- Renewable output forecasts
- Scenario models for electrification
Asset Health and Predictive Maintenance
We combine inspection, sensor, loading and environmental data into asset health and risk models that support maintenance and investment planning.
- Asset health and risk scores
- Drone and image analytics for inspections
- Investment prioritization dashboards
Smart Meter and Customer Analytics
We analyze AMI interval data for load disaggregation, anomaly detection, theft and leak detection, and customer segmentation for programs and tariffs.
- Meter data analytics pipelines
- Revenue protection models
- Customer segmentation and targeting
Distributed Energy and Flexibility Analytics
We support hosting capacity analysis, DER forecasting, demand response targeting and integration with DERMS and flexibility markets.
- DER visibility and forecasting
- Demand response analytics
- Integration with DERMS and market platforms
Sustainability and Regulatory Reporting
We automate emissions, reliability and regulatory reporting data with lineage and controls, supporting disclosure frameworks and regulator submissions.
- Emissions and reliability data marts
- Automated regulatory report data
- Audit trail and lineage
Explore
Services for Energy and Utilities
- IoTConnect sensors, meters and field devices.Learn more
- Machine LearningForecasting and asset health models.Learn more
- AI Planning and OptimizationOptimize crews, maintenance and dispatch.Learn more
- Big DataProcess high-volume meter and sensor data.Learn more
- Sustainability and ESGEmissions accounting and disclosure data.Learn more
- SecurityProtect critical infrastructure systems and data.Learn more
Our Approach
How We Engage with Energy and Utility Companies
A delivery approach that respects operational safety, regulation and critical infrastructure security.
- 01
Operational and Data Landscape Review
We map the business process, IT and OT systems, data quality and security zones relevant to the use case, involving operations, engineering and cybersecurity teams.
Deliverables: System and data inventory · Security zone and integration review
- 02
Use Case and Value Definition
We define the decision the solution will support, how success will be measured and how results will be validated by engineers before operational use.
Deliverables: Use case charter · KPIs and validation approach
- 03
Data Foundation and Integration
We build secure pipelines from source systems, apply data quality checks and create the network and asset data model the analytics depend on.
Deliverables: Integrated data sets · Data quality reports
- 04
Model Development and Engineering Validation
We develop forecasting, risk or optimization models in sprints, back-testing against historical events and reviewing results with domain experts.
Deliverables: Validated models · Back-testing results
- 05
Operationalization and Monitoring
We integrate results into control room, planning or field tools, monitor accuracy and data feeds and provide runbooks or managed operation.
Deliverables: Integrated tools and dashboards · Monitoring and support model
Use Cases
Energy and Utilities Use Cases
Concrete scenarios across electricity, gas and water networks.
Feeder-Level Load Forecasting
A distribution utility forecasts load and solar output for every feeder for the next 48 hours. Operators anticipate overloads and reverse flows and plan switching in advance.
Transformer Health Scoring
Loading data, oil analysis, age and weather exposure are combined into a risk score for each transformer. The utility replaces the highest-risk units before peak season instead of following age alone.
Vegetation and Wildfire Risk Analytics
Satellite imagery, LiDAR and weather forecasts identify line segments where vegetation and fire risk are highest. Trimming crews and protective actions are prioritized accordingly.
Water Leak Detection
Smart water meter and pressure data reveal night-time flows and pressure anomalies indicating leaks. Field teams are sent to specific district metered areas instead of broad sweeps.
EV Charging Demand Planning
Vehicle registration, charger installation and meter data are used to forecast where EV charging will stress local networks. Planners target reinforcement and managed charging programs.
Outage Prediction and Customer Communication
Storm forecasts and network vulnerability data predict likely outage areas before severe weather. Crews are pre-positioned and customers receive proactive notifications.
Technology
Platforms and Standards We Work With in Energy and Utilities
We integrate with the operational systems and industry standards utilities rely on.
- IEC CIM (61968 and 61970)
- IEC 61850
- DNP3 and Modbus integration
- OPC UA
- MQTT
- NERC CIP
- IEC 62443
- AVEVA PI System
- Esri ArcGIS
- SAP IS-U
- Azure IoT
- AWS IoT
- Databricks
- Snowflake
- Apache Kafka
- Power BI
Platforms
Deliver Energy and Utilities on Your Preferred Platform
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- DatabricksUnified lakehouse for data engineering, analytics and AI.Explore
- SnowflakeElastic cloud data platform for analytics and data sharing.Explore
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Logistics
Route optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
Read the Full StoryResources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Turn Grid and Asset Data into Better Decisions
Book a free consultation to discuss forecasting, asset management or grid data priorities with our energy and utilities team. We reply to every enquiry within 24 hours.
Energy and Utilities FAQ
How do you handle OT security and critical infrastructure requirements?
We design integrations to respect network segmentation and the security zones defined by your OT security program, following principles from frameworks such as IEC 62443 and, for North American bulk electric systems, NERC CIP. Data typically flows outward from OT networks through approved gateways or data diodes, never inward without explicit approval. We document data flows, access controls and change procedures so your cybersecurity team can review and approve them.
Can you work with our existing meter data management and SCADA systems?
Yes. We integrate with meter data management systems, head-end systems, SCADA and historians, GIS, enterprise asset management and customer information systems through their APIs, databases, standard protocols or file exports. Where possible we use the IEC Common Information Model to align data from different vendors. We aim to complement, not replace, your operational systems by making their data usable together.
How accurate are load forecasting models?
Accuracy depends on the forecast horizon, the level of aggregation and data quality. System-level day-ahead forecasts are usually much more accurate than feeder-level forecasts with high solar penetration. We establish your current baseline first, then measure improvements using agreed metrics such as mean absolute percentage error on historical back-tests. We also provide prediction intervals so operators understand forecast uncertainty, not just a single number.
Do you support water and gas utilities as well as electricity?
Yes. Many of our solution areas apply across utilities: asset health, leak and loss detection, smart meter analytics, field workforce optimization, customer analytics and regulatory reporting. The data sources and physics differ, for example pressure management in water networks or gas leak surveys, and we adapt models and data models accordingly with input from your engineers.
How long does a typical utility analytics project take?
A focused use case, such as transformer health scoring or meter anomaly detection, typically delivers a validated first version in three to five months, depending on data access. Building a broader grid data platform is phased over several releases, with each release adding data domains and use cases. Utility review and change processes are factored into the plan from the start.
Can you help with sustainability and emissions reporting?
Yes. We build data pipelines that calculate and track emissions from generation, fleet, facilities and purchased energy, and connect them to operational data for accuracy. We support reporting to regulators and disclosure frameworks with audit trails and lineage, so sustainability figures can be assured alongside financial data. Our Sustainability and ESG service page covers this in more detail.