The software will be used in the real-time management of the network and forward planning when assessing the impact of new connections across the system

In this case, a question of great interest will be: how will these AI systems interact with their end users in the energy management field?

One of the proposals is the development of machine learning solutions to improve and extend diagnostic and prognostic capabilities for predictive maintenance of plants

Artificial Intelligence (AI) is currently perceived in many ways. Some believe the Hollywood view of the self-aware, fully thinking autonomous entity, that will take over the world. Others that is no more than a complex, rules-based search engine that clever programmers have disguised as your new friend. They’re both wrong.

It worked with The Alan Turing Institute to develop the AI prediction methods that have so far helped deliver a 33% improvement in solar forecasting

The programme aims to incorporate AI into the engineering design processes for energy technologies

A smart computer has suggested global warming is more likely to be the result of natural fluctuations rather than caused by the actions of humans. That’s according to scientists John Abbot and Jennifer Marohasy, who created an artificial neural network (ANN) to study historic data and see if temperature fluctuations since the industrial revolution are part […]