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Creating new value through AI-powered Virtual Power Plants The increased usage of solar energy and wind turbines , in addition to batteries and other dispersed renewable energy resources , has necessitated a new strategy for energy management . Older systems , which were created for unidirectional energy distribution and centralised power production , are no longer viable , incapable of managing bidirectional energy flows , and insufficient for evolving societal demands . To tackle this energy paradigm , VPPs ( Virtual Power Plants ) – which utilise machine learning and AI capabilities – prove indispensable .
Honeywell is a major player in the realm of VPPs , namely with its Experion Energy Control System , which uses advanced analytics and machine learning algorithms to analyse data and identify opportunities for efficiency improvements .
“ Honeywell ’ s VPPs can optimise the aggregation of DERs across large areas by using digitalisation and deploying grid assets more efficiently . Technology such as ours enables resource owners to utilise every renewable energy resource at their disposal , they are contributing to the global energy transition ,” says Honeywell ’ s Director of Energy Storage Solutions , Prudence Hoffman .
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