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.
The 24-day, digital 2020 Africa Energy Forum kicked off on October 20. The event brings together African energy sector officials to identify opportunities, air their views, form partnerships, and take the necessary steps to improve the industry. For solar, challenges in policy making, procurement processes and the effects of the Covid-19 pandemic were discussed, as well as emerging trends such as solar digitalization.
The Solar Mapper uses artificial intelligence algorithms that compile data extracted from satellite images. It can estimate site solar potential and indicate the most suitable technology.
A small-area trial of artificial intelligence and blockchain-based energy trading software demonstrated big improvements across all renewable energy performance metrics. The port authority now wants the system across all its premises.
Doubling down on renewable energy investment and energy transition spending is required to ensure a truly green global recovery from the Covid-19 crisis and its economic aftershock, claims the International Renewable Energy Agency.
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.
Artificial intelligence (AI) can play a key role in combating climate change, including by application in the renewables industry. Dustin Zubke is watching this week’s International Conference on Learning Representations workshop to find out how, after the Addis Ababa conference was moved online because of the Covid-19 pandemic.
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