Energy & Utilities

Deliver personalized experiences with energy usage data.

  • Enable near real-time remote actionability based on connected data, ensuring proactive safety measures and facilitating user interactions.
  • Monetize through subscriptions. Provide continuous access to real-time insights, advanced analytics, and actionable information for enhanced operational efficiency and data-driven decisions.
  • Provide energy advisory insights based on consumption and billing data.

Use case summary

Empower organizations and end users to drive near-real-time actions by activating real-time energy consumption, asset health, and performance data.

Data Sources Used

Solar/ PV System Production & Event Data
Battery Storage System Data
HVAC Systems & Heating
Water Heaters & Pool Pumps
Smart Thermostats, Appliances, & Lighting
Smart Commercial Industry Devices
Transformers
Pumps & Valves
Substation Control Data

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Calculated Insights Aggregate all of your data and uncover Calculated Insights — like Average Session Energy, Charger Utilization Rate, and Charger Peak Demand Time. Or make an early diagnosis on an overly active heating system or abnormal consumption in real time.
Predictive Models Energy and utility companies can develop predictive models for demand forecasting, allowing them to anticipate peak energy usage and optimize grid management. They can also create predictive maintenance models to forecast equipment failures, reducing downtime and improving service reliability. These models would also enable personalized, energy-saving recommendations by predicting individual customer consumption patterns.

What's the impact

Reduce Installation Costs
Increase Non-Energy Revenue
Improve Asset & Field Operations