Much greater fluctuation in power generation
Sequence Number
10
Industry
Energy
Banner
How 5G enabled
Keeping better track of real-time data and using AI (ML) to better predict fluctuations
Data Flows
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Devices
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Description
- Wide range of sensors collecting timeseries data.
- Sensors collecting power generation levels.
- What other data sources are needed?
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Connectivity
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Description
- Using 5G to get data to edge or Cloud storage
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Edge Compute
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Description
- Latency critical data could be stored and (AI) processed at the edge
- Make a list of scenarios when edge is important and should be used over cloud
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Cloud Compute & Storage
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Description
- All data to be stored in Enterprise storage to ensure enterprise ownership
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Applications & Services
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Description
- AI (ML) based apps for IT based data covering various availability aspects
- Include MV for images
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Inform Decision Makers
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Description
- Only in cases of issues reporting to Operations
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Support Decision Making
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Description
Application Logic
Description
- Make an overview of the workflows impacted by these fluctuations.
- Based on this information, how can 5 G- enabled Digital Services assist in minimising the impact on the power utilities?
- Create a team of SMEs + Data Scientists + Data engineers to translate this into AI supporting models
Description
- Use batteries for loading / unloading and therefore compensate for unwanted fluctuations.
- Also looking at latest generation of sensors: Options and Costs difference.
- Use AI – ML to predict these fluctuations and at the same time, give give steps to prevent them from happening.
Description
- At all times it is important that the utility meets the minimal customer supply demands and therefore will give as well.
Expected benefits
- Be ready for increasing distributed energy generation.
Key value created
- Closer alignment between demand and supply