German website
Artificial intelligence is finding increasing application in the solar industry. As in many other sectors, generative AI promises to be a game-changer.
Digitised power systems are well-uited for handling today’s fluctuating demands. Data-driven approaches are unlocking new opportunities for operation, maintenance and management, as Sue Quense, Chief Commercial Officer at Aveva, explains.
Artificial intelligence (AI) is considered a key technology in many fields. What role can AI play in the energy transition and in renewable energy systems? Bradley Mundt, CEO & founder of the green energy start-up PLAN-B NET ZERO, sheds light on this question.
Microsoft is missing its climate targets due to the boom in data centers and AI. The tech giant wants to counteract this by using more renewable energies, among other things – but it also includes nuclear power in this. The company is not communicating transparent figures on this.
The construction of the ‘Kaba 2’ solar power plant in Eastern Hungary has started. Artificial Intelligence (AI) plays a special role.
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.
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.
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 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 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.
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 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.
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, 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:
How good is good? Digitalisation leaves no questions unanswered. Today, the productivity of photovoltaic systems can be precisely measured and easily optimised.
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 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.
