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All articles of topic artificial intelligence

© MET
Hungary

MET: AI supports extension of solar park

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The construction of the ‘Kaba 2’ solar power plant in Eastern Hungary has started. Artificial Intelligence (AI) plays a special role.

© Eaton
Outlook 2024

The five most important trends of the energy transition

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What are the five most important reasons why the energy transition is dominating the energy and utility sector? Dirk Kaisers, Segment Leader Distributed Energy Management EMEA at Eaton, names them.

© Amadeus Bramsiepe, KIT
Perovskite cells

AI could improve the stability of perovskite solar cells

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Tandem solar cells based on perovskite semiconductors can convert sunlight into electricity more efficiently than conventional silicon solar cells. In order to bring this technology to the market, stability and production processes must be further improved. Artificial intelligence (AI) methods could now help with production.

© Inion Software
Artificial Intelligence

Inion develops AI tool to enhance solar power plant efficiency

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Knowing how much energy a solar power plant will generate is essential to its operator. This is especially true with larger solar power plants: electricity suppliers need to establish how much energy they are capable of producing.

© Delta
Charging management

New charging management that uses AI

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Delta introduces a new platform with AI capabilities and seamless integration into the energy infrastructure. This ensures electrical safety, billing procedures and daily management.

© GP Joule
Solar planning

Planning tool delivers concrete project outline

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GP Joule Connect's Expert planning tool uses AI-based algorithms to translate individual specifications into concrete parameters as well as initial and operating costs. It is also filled with empirical values from the more than 800 projects in the GP Joule network.

© DNV
Acquisition:

GreenPowerMonitor acquires PV analytics platform from Alteso

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GreenPowerMonitor, a DNV company, has acquired the PV analytics technology platform, PEAK from Alteso, a PV performance improvement specialist located in Vienna, Austria. PEAK’s special algorithms, including machine learning for exploring big data, will be integrated into GPM’s platforms.

© STI Norland
Solar trackers:

STI Norland launches new smart control system for solar power plants

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STI Norland has launched a new system that optimizes power generation in solar tracking plants. This new system, called STI Control, is used for comprehensive control and monitoring of photovoltaic plants equipped with STI Norland’s trackers.

© ZSW
Research & development:

Battery cells: Artificial intelligence for environmentally friendly production

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Scientists plan to use artificial intelligence to optimize the processes used to manufacture battery cells. The goal is to develop eco-friendly, cost-effective and solvent-free ways of producing battery electrodes.

© Raycatch
Solar asset management:

The global PV industry could be losing $14.5 billion each year by 2024

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Raycatch, a start-up that has developed an innovative AI-driven digital asset management system of solar PV assets, recently released a special report entitled Solar Asset Optimization – Industry Benchmark Study:

© Solyitic
My vision:

Johannes Dahl from Solytic: Completely digitalise monitoring and problem solving

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How good is good? Digitalisation leaves no questions unanswered. Today, the productivity of photovoltaic systems can be precisely measured and easily optimised.

© Solar Promotion GmbH
Artificial intelligence:

Reap benefits and tackle risks from AI for the power sector

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Artificial intelligence (AI) applications are transforming business operations and processes in the power sector, leading to greater cost savings, increased efficiency and new services. But also risks like data access and data protection have to be tackled.

© SMA

KI for more reliable and efficient PV and storage

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SMA and its partners are investigating the potential of machine learning and artificial intelligence to further increase efficiency and reliability of PV and storage systems as part of the Digital Twin Solar research project.