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Accelerating the energy transition with artificial intelligence

From businesses of all sizes to individual citizens, the energy transition concerns everyone.
At Probayes, we help our customers make their buildings and processes more energy efficient.

We also develop artificial intelligence to predict the production of renewable energy and optimize its use.

Probayes uses a number of tools to address energy-related challenges:

Accelerating R&D to speed up time to market for new technologies and creating digital twins to predict wear and plan maintenance
Optimizing renewable energy to help producers select the optimal location for their facilities, improve grid integration, and manage smart grids
Bringing new technologies to renewable energy to forecast production, secure the energy supply, and boost the proportion of renewables in the energy mix
Reducing energy consumption through smart energy-management solutions for buildings and industrial processes

Algorithms tailored to the energy industry

Probayes develops, tests, and implements a wide range of algorithmic tools on energy-related use cases in many industries. Our core approaches to energy-related projects include:

Operational research and combinatorial optimization

Transportation network optimization (logistics and distribution, public transportation, delivery routes, etc.) to shorten the distances covered
Right-sizing inventory and optimizing how inventory is organized in space to reduce the amount of space required and the associated costs
Geometrical optimization to locate waste so as to reduce the number of vehicles required to remove it
Self-consumption optimization

Time-series processing

Detecting IoT data anomalies to optimize the quantity and quality of input data
Predictive maintenance solutions to reduce costs and extend equipment lifespans

Time-series processing and prediction

Predicting solar panel production

La Operational research combined with time-series processing and prediction

Building energy management and optimization

Computer vision applied to thermography

Leak detection on heat networks
Scanning building facades to detect heat loss

Better results, together

We work hand in hand with your business experts

Regardless of your industry, energy-related projects are usually particularly complex, with a large number of data sources. At Probayes, we work hand in hand with our customers’ experts to understand the many moving parts of the challenge at hand so that we can develop the best possible solution. We make communication a priority to ensure that we learn from each other throughout the project. Our customers come away with a better understanding of AI implementation in energy-related scenarios, and our people acquire a deep understanding of the issues our customers face. Each project strengthens our long-lasting customer relationships.

Success stories

Renewable energy production forecasting

Project to predict solar panel energy production

Batisense

Energy optimization solution for buildings

Making hybrid vehicle engines more efficient

Project to optimize the energy consumption of a hybrid engine

Self-consumption optimization

Project allowing …

EasymAInt predictive maintenance solution

With EasymAInt, makes predictive maintenance simple. Just install plug-and-play sensors to monitor your data and equipment and you are ready to go!

Optimnet

Optimnet is custom decision-assistance tool that adapts to your unique logistics system optimization needs.

Eramet

Success story

Eramet is one of the world’s leading metal alloy producers. The Eramet plant in Knivesdal, Norway, produces silicomanganese alloys.

Challenge

When manufacturing processes are optimized, premium raw materials can be replaced with less-expensive alternatives without affecting product quality. Eramet turned to Probayes for a real-time solution capable of detecting exactly when to switch out the more expensive raw material for the cheaper one and of generating recommendations for when to switch back in the event of drift.

The project

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Results

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