The driver of the energy transition is AI
The energy industry is undergoing a profound transformation, the overarching goal of which is decarbonisation. Many renewable energy plants are replacing a few conventional power plants. Generation and consumption are increasingly decentralised. And sector coupling combines areas such as electricity, heat and transport into an integrated energy system.
All this changes the framework and puts pressure on decision-makers to find suitable solutions for new challenges. Key features of the changed energy system are growing complexity and masses of data. While humans have their limits when it comes to dealing with this, AI technology feels at home here. Its use ensures more efficient processes and brings forth new business models. This is already demonstrated by established AI applications in the energy environment: they provide reliable forecasts for generation and consumption, optimise the utilisation of the grids and indicate the need for plant maintenance at an early stage.
Interview in energate magazine
Sven Langhoff, Team Leader Data Science at adesso SE, was interviewed about an AI project at Open Grid Europe. In it, he answered three quick questions about how AI can selectively extract knowledge buried in old documents.
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