AI IN ENERGY of the enterprise , in basic analysis , within a workflow , and even across ecosystems contributing to new levels of sustainability ,” states Binboga .
“ When it comes to sustainability initiatives , continually optimising business processes by discovering and eliminating operational deviations can be used to help reduce the carbon footprint and resources consumed .”
An example of this can be seen in a recent study by CapGemini , where it was found that NextEra Energy , a US-based Fortune 200 energy company , is applying machine learning to optimise operating parameters for its wind turbine fleet .
The aim is to maximise output and perform predictive maintenance . “ We operate at $ 3 to $ 4 [ per MWh ] better , including availability and operating costs , on the wind side than anyone else in the country ,” says Jim Robo , CEO of NextEra Energy .
Raising productivity , cutting costs Lowering expenses , increasing productivity and generating more chances for growth in market dominance – it ’ s not by chance that companies utilising RPA are the ones that are separating themselves from the competition . energydigital . com 85