Use Case Design & Development

The Awesense Energy Transition Platform enables the design of Use Cases in the Sandbox Environment using synthetic data. The testing and further development of Use Cases are conducted in the Awesense Energy Transition Platform after the ingested data has been processed to provide contextual insight.

What Is A Use Case?

A Use Case is a templated, digital solution that uses utility data to solve an industry problem by enabling data-driven business decisions to adapt effectively to an evolving energy grid.

Use Case Design

Designing An Application

Waste zero time with the development process and start designing algorithms and analytics in the Awesense Sandbox Environment using realistic synthetic data while the data ingestion occurs on the Energy Transition Platform. The realistic synthetic data and the tools for development of the testing environment provide the ability to design a near-ready Use Case helping you accelerate your time-to-market of Use Case development by upwards of 90%.

Compatibility

Developing An Application

After the data has been ingested, cleansed, synchronized & structured according to the Awesense Energy Data Model (EDM), it is ready for use in the Energy Transition Platform through APIs. The Use Case designed in the Sandbox Environment can be fine-tuned and further developed using actual data.

The finished Use Case can be combined with custom applications to draw business insights and modernize the energy grid to support the energy transition.

Particle element

Particle element

Particle element

Particle element

Get Started With The Energy Transition Platform.

Get Started With The Energy Transition Platform.

Awesense Use Case Library

All
Asset Management
Billing
Business Intelligence
Data Analysis
Outages

Utilize alternative sensors located in the grid for customer billing purposes where metering data is not reliable.

Fast Deployment IoT Sensor Billing

Utilize alternative sensors located in the grid for customer billing purposes where metering data is not reliable.

Ability to calculate Coincident Peak (CP) and Non-Coincident Peak (NCP) at various levels of aggregation and geographies.

Coincident Peak and Non-Coincident Peak Analysis

Ability to calculate Coincident Peak (CP) and Non-Coincident Peak (NCP) at various levels of aggregation and geographies.

Analyze transformers downstream from where a planned outage will occur to identify opportunities for asset upgrades

Planned Outage Transformer Replacement Analysis

Analyze transformers downstream from where a planned outage will occur to identify opportunities for asset upgrades

View the hottest and coldest sections of your grid and set thresholds to be notified of high risk areas.

Grid Temperature Monitoring

View the hottest and coldest sections of your grid and set thresholds to be notified of high risk areas.

Identify and track customers who are producing energy from behind-the-meter sources

Prosumer Customer Location

Identify and track customers who are producing energy from behind-the-meter sources

Track and monitor the communication consistency and performance of various sensor devices across your grid network.

Sensor Communication Performance Dashboard

Track and monitor the communication consistency and performance of various sensor devices across your grid network.

Transformer Loading Analysis

Analyze transformer loading patterns and health across all transformers in the service territory.

Understand the impact outages are having on customers and how they have impacted revenue

Unserved Energy Due To Outages Analysis

Understand the impact outages are having on customers and how they have impacted revenue