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Awesense - AI-Driven Data Cleansing & Structuring for Utilities
The Awesense AI Data Engine uses AI for data cleansing – doing all the heavy lifting for data cleansing & structuring, enabling modeling, analytics, and use case development in record time. In the AI Data Engine, data is ingested, cleansed & structured, then synchronized in time & space to produce an accurate and validated energy data model with ontological references. The result of this computation is the Awesense Energy Data Model (EDM) grid Digital Twin which is further available easily via APIs.
Grid & GIS
- Asset Properties
- Asset Location
- Asset Connectivity
Time Series
- AMI/AMR
- Generation/SCADA
- IoT/Sensor Measurements
- Environmental Data
Formats
- Multispeak
- CIM
- IEC 61850
- DNP3
- etc.
- Geo-coordinates validation & transformation
- Connectivity validation, estimation & correction
- Switch state validation & correction
- Meter association validation
- Time series data validation & synchronization
- Missing time series data estimation
- Exposes locations in the grid where consumers, particularly large industrials, are likely missing from the dataset
Once the data has been ingested, cleansed, and synchronized, it is structured according to the Awesense Energy Data Model (EDM). It is designed to be extensive while still easy to process and read. The EDM is a digital twin of the grid readily available through APIs so that models, use cases & analytics can be easily built. The digital twin can also be viewed through the Awesense Visual Data Explorer, True Grid Intelligence (TGI) or any industry-standard Business Intelligence tool.
Dependable utility data is the foundation for all changes occurring with the energy transition. Validated, corrected, and synchronized data enables the decisions needed for regulatory approval and the coming wave of policy changes. This process is typically time-consuming and expensive with multiple parties involved. Awesense accelerates this process by structuring the data into a model-driven digital twin.
Awesense accelerates this process:
Validate, Correct & Synchronize Multiple Sources of Time-Series & Geospatial Data Quickly.
Deeply Understand Grid Performance and the Grid Edge at Low-Cost.
Generate Executive decision making reports and build rate cases for Regulatory Approval based on real data insights to Reduce Risk.