machine learning

Academics from MIT and Stanford who have posited a new production method for perovskite solar cells have also developed a machine learning system which benefits from the experience of seasoned workers – and they’ve posted it online for anyone to use.

Artificial intelligence is already demonstrating its climate change chops, for example by analyzing satellite images to better detect and monitor methane leaks from fossil fuel infrastructure.

Oxford-based Habitat Energy uses machine learning algorithms, artificial intelligence (AI) and its own trading platform and software to maximize profits from utility scale storage facilities. A Canadian Solar statement about the arrangement, issued today, contained no financial details about the co-operation.

A technology-focused event held by the Africa Solar Industry Association has heard development pipelines across the continent are swiftly changing to accommodate double-sided PV panels, and that’s good news for solar tracker providers too.

How do you know when an inverter or module is under-performing? Monitoring services should shed light on problems but AI-driven digital asset manager Raycatch says much information is hidden behind a wall of “noise.” Breaking that wall with advanced data analysis could unlock billions of cost savings.

Researchers led by Oxford University have put together a comprehensive forecast of energy developments across the African continent up to 2030. Based on analysis of data on more than 3,000 power plant projects across 54 countries, the report predicts a doubling of generation capacity in Africa over the next decade, with fossil fuel projects to represent 60% of the total. Based on this, the authors warn of the need for both the public and private sectors to change to tack to avoid a missed opportunity for renewable energy.

A new report published by the European Technology and Innovation Platform outlines the need for continuing research into the reliability of PV systems and components, and for the collection and sharing of performance data. The report recommends a holistic approach to reliability, going beyond current testing standards to identify new degradation mechanisms, and making use of sensors and drone imaging to monitor systems in the field to prevent and report on system failures.

MIT scientists have suggested used electric vehicle batteries could offer a more viable business case than purpose-built systems for the storage of grid scale solar power in California. Such ‘second life’ EV batteries, may cost only 60% of their original purchase price to deploy and can be effectively aggregated for industrial scale storage even if they have declined to 80% of their original capacity.

The Chinese conglomerate has revealed how it will further integrate artificial intelligence (AI) in its string devices this year. The approach includes the transformation of inverters into smart PV controllers, the development of AI inference modules and the creation of an AI training and inference platform. Machine learning will also be incorporated into operations and maintenance, grid management and PV plant design.

The importance of start-ups and climate tech companies in advancing the use of machine learning to combat climate change was emphasized at a recent online workshop.