INSPIRATION
The energy grid is one of the most complex infrastructures and requires quick decision-making in real-time, which big data and AI algorithms enable for utilities. Beyond grid analytics and management, AI’s applications in the renewables sector include power consumption forecasting and predictive maintenance of renewable energy sources. It further enables the internet of energy applications that predict grid capacity levels and carry out time-based autonomous trading and pricing. With innovations in cloud computing, virtual power plants (VPP) supplement the power generation from utilities.
In addition, startups utilize data analytics and machine learning for renewable energy model designing and performance analysis.
German startup Likewatt develops Optiwize, patented software that provides energy parameter analysis using machine learning. Optiwize also calculates historical power consumption and carbon dioxide emissions as well as features renewable energy audits and weather forecasting. This allows individual and collective consumers to observe real-time consumption patterns. Moreover, it enables power producers to hybridize different technologies and optimize load sizing.
Resonanz is a Spanish startup that enables automated intelligent energy trading. The startup’s software tools, rFlow and rMind, integrate and manage data in real-time to create autonomous algorithmic decisions. Furthermore, the rDash interface visualizes the production forecast, market price indicators, and accounting data that aids decisions.Through these products, the startup enables market participants to
increase their share of sustainable energy and returns at the same time.
