machine learning

While collecting verified bottom-up project data in real time has previously been cost-prohibitive, satellite data can now be leveraged to make comprehensive market intelligence attainable for investors. Daniel Cruise and Joseph Triepke, partners at energy intelligence firm Lium Research, reveal how satellites can provide more reliable insights into the construction of US utility-scale solar projects.

A group of investors including Statkraft Ventures has invested US$3 million in software-as-a-service (SaaS) company Glint Solar and its site identification technology for both ground mounted and floating solar parks.

Solar software company Raptor Maps has closed a US$22 million Series B raise that will be used to further develop its Raptor Solar software platform designed to enable utility-scale and commercial and industrial (C&I) solar companies to make better use of their data.

Octopus Investments Australia has deployed Fluence’s AI-powered trading platform to optimise the output of its 333MW Darlington Point Solar Farm in New South Wales (NSW).

Machine learning techniques have been used in a study to boost the accuracy of renewables forecasts by up to 45%, helping improve grid operations in Australia.

Enphase Energy has closed the acquisition of software firm Sofdesk, bolstering its digital offering with the addition of solar system design software.

Solar PV and other renewables will increasingly benefit from artificial intelligence (AI) and could completely overhaul the design, development and deployment of the technologies, a new report has claimed.

The Clean Energy Innovation Fund, supported by Australia's Clean Energy Finance Corporation (CEFC), and Right Click Capital have invested US$7 million into Australian start-up Redback Technologies, whose system uses machine learning to predict solar generation and customer usage.