What is it?

The Awesense Energy Transition Platform enables system integrators, solution providers and utilities to design the applications, analytics, and use cases they need to prepare for the future of energy and grid modernization while maintaining reliability and resilience. It is the only data model-driven digital twin platform that accelerates the development of energy use cases to support the energy transition.

The Energy Transition Platform ingests all data sources through the AI Data Engine, which outputs The Awesense Energy Data Model (EDM), serving as a digital twin of the grid. The EDM is viewable with the Awesense front-end solution, The True Grid Intelligence, or APIs to connect with any BI or notebook tool such as PowerBI or Synapse. The platform also includes a development environment with access to use case code samples on GitHub to design analytics with synthetic and realistic data to expedite development timelines and reduce costs.

Solution Overview

• Ingest and connect disparate data sources rapidly
• Accelerated data correction using the AI Data Engine
• Expose data through the Awesense Energy Data Model (EDM) that serves as a digital twin on the grid
• Option to use the Awesense front-end digital twin explorer, True Grid Intelligence (TGI)
• Option to connect to EDM APIs with BI and notebook tool of choice
• Access to use case code samples on GitHub and data science training materials
• Design analytics in any coding language in a development environment using synthetic, realistic data while utility data is processed in the AI Data Engine
• Test and further build use cases using EDM APIs

AI Data Engine

The Awesense AI Data Engine ingests utility data. It uses machine learning and artificial intelligence to cleanse, structure, and synchronize utility time-series data (AMI/AMR, SCADA, Sensors, etc.) with GIS data according to the Awesense Open Energy Data Model (EDM), resulting in a digital twin of a utility's grid. The Data Engine's key features are its AI-driven validation, estimation, and error correction capabilities. It can accelerate the synchronization of disparate data sources up to 20x faster than traditional methods.

Data Model Driven Digital Twin - The Awesense Energy Data Model (EDM)

Once a utility’s data sets have been ingested, processed and cleansed for errors through the AI Data Engine, the data is structured according to the Awesense Energy Data Model (EDM). This model serves as a digital twin of the grid, providing superior asset situational awareness and performance metrics for optimal grid insight.

APIs & Development Environment

EDM is made available via secure APIs such that data science teams can easily connect any BI or notebook tool of choice with the option of changing it at any point. Data science teams can use the EDM APIs to glean insights into the grid and build business use cases to address all energy challenges. These tools can be used to optimize existing operational management systems, enhance operational analytics, provide insights for equitable and resilient planning decisions and facilitate regulatory approval.

The Energy Transition Platform includes a development environment for rapid analytics design using synthetic, realistic grid data to reduce development time and costs. Any analytic use case developed using the artificial data will directly port with the utility's data set. This allows a team to develop in tandem with building Azure infrastructure and processing the utility's data set in the AI Data Engine.

The designed analytics can be tested and refined using the EDM APIs once the EDM is populated with cleansed data. The result is accurate insight using analytics developed at a fraction of the time of traditional methods.

True Grid Intelligence

True Grid Intelligence is an Awesense front-end digital twin explorer and situational awareness tool with many out-of-the-box applications. Customers use it to monitor their systems, analyze data, build models, and traverse and explore their grid network and associated time series data.