Skip to content

machine learning

AI selecting best solar perovskites

A U.S. research team has used machine learning to optimize material composition and predict the design strategies and performance of perovskite solar cells. The researchers analyzed 2,000 peer-reviewed perovskite publications and collected more than 300 data points.

Reducing total harmonic distortion with adaptive filters

A Malaysian study has compared the techniques used to reduce total harmonic distortion caused by PV systems. The paper, which considers the benefits and drawbacks of the approaches studied, suggests the use of adaptive filters.

Narrowing down 166 billion battery materials

Researchers at the U.S. Argonne National Laboratory have applied a combination of machine learning and artificial intelligence to help narrow down a list of 166 billion molecules that could be used to form the basis of a battery electrolyte. The technique, say the researchers, offers a way to greatly reduce the cost of narrowing down such an enormous data set, while still providing a precise understanding of each molecule and its likely suitability.

2

ABB touts AI-supported industrial energy consumption management tool

A new application for ABB’s ‘Ability’ digital platform enables industrial customers to avoid peak charges without using of battery storage. The Swiss corporation has developed two apps for its energy management software with the help of an artificial intelligence specialist.

3

Tesla-based battery project launched in Slovenia

New company NGEN appears to have introduced the Powerpack battery to central Europe in a €15 million, 12.6 MW/22.6 MWh project in the northwest of the country which is the first of two planned utility scale systems due for completion by July.

2

New methods for fault detection revealed at EU PVSEC

Quality control and problem detection and classification was brought into focus at the conference in Marseille. A packed house at a session focused on the latest fault detection techniques indicated the high level of interest in the field.

Using machine learning and cheap satellite data to design rooftop solar power

Researchers have built a tool to use cheap satellite imagery – like Google Maps – to automatically create solar designs with a 91% accuracy rate.

3

EY blog warns grid operators ‘the clock is ticking’

The energy transition is accelerating, Ernst & Young global energy leader Benoit Laclau has warned grid operators, thanks to the confluence of digitization, decentralization and decarbonization. Traditional utilities must get with the program or be swept aside.

MIT works to refine the flow of promising perovskites

Scientists at the Massachusetts Institute of Technology have developed an accelerated process for screening new perovskite compounds as they search for those with the potential to be used in high efficiency solar cells. According to MIT, the process speeds up the synthesis and analysis of new compounds by a factor of ten and has already highlighted two sets of materials worthy of further study.

Eight trends for the PV industry in 2019

IHS Markit’s analysts have mapped out what they are keeping an eye out for in the year ahead. Aside from higher installation figures, the number-crunchers predict a continued battle for multi-function in the hard-fought inverter segment and a potential watershed year for utility-scale storage.

This website uses cookies to anonymously count visitor numbers. View our privacy policy.

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close