Energy industry services
In the energy industry, operational reliability, forecasting, and analysis are vital to the business.
We find new opportunities in existing processes by automating them with production-grade AI solutions.
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Energy sector professionals
We build production-grade AI solutions for industrial leaders like Caruna, Kemira and Stora Enso, as well as European healthcare providers and hospitals. Our core competence is in applying artificial intelligence to real-world use – because today’s winners are those who are ready to build on latest research and harness breakthrough technologies in their everyday processes.
Technologies we use
Predictive solutions
Regression
- Forecasting energy consumption
- Forecasting wind turbine maintenance
- Forecasting power grid load
- Forecasting renewable energy production
Classification
- Type classification of electric outages
- Modelling of energy consumption
- Forecasting the impacts of weather conditions
Clustering
- Sales lead segmentation
- Advanced customer segmentation
Computer vision
Computer vision:
- Automated powerplant monitoring
- Drone-based damage identification
- Surveillance monitoring
Natural language processing (NLP)
Text classification
- Automated customer service and customer feedback systems
- Energy industry news and trends analysis
Sentiment analysis
- Customer feedback analysis
Energy sector AI opportunities
Reliable power supply
→ Maximize operating time
→ Observe changes in electricity quality
Reduce manual steps
→ Free up your employee time from manual processes
→ Realign your employee focus from repetitive tasks to more demanding ones
Observe production malfunctions
→ Predict and detect possible production malfunctions
→ Detect the variables affecting production
Modeling of electricity markets and optimizing decision-making
→ Forecast the fluctuations in demand and supply
→ Base your decision-making on data
Case reference
Caruna
Caruna distributes electricity and builds, maintains and repairs an electrical grid for ∼700,000 people. We built a computer vision application to help identify damages to their 87,300 kilometre long electrical network.
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