AI IN ENERGY
“ At IBM for example , the implementation of an IoT and analytics across 190 buildings helped identify energy conservation opportunities . This resulted in the avoidance of 3,400MWh of energy and US $ 356,000 in expense . These savings are critical , especially amid the current energy crisis .”
AI will also factor in external sources of data to determine the best possible use of energy resources , such as weather – a major factor in electricity consumption and the purchase of energy . There are also applications that support road networks , which could realise more efficiency or be applied to EVs as they are introduced .
“ IoT and AI combined with proprietary and third-party geospatial information can help monitor , predict and avoid disruptions on the road . This helps to plot the most efficient routes and reduce CO2 emissions from vehicles . The benefits that can be reaped from more intelligent assets can have vastly positive impacts on everyday life and the societal benefits are huge ,” says Goos .
Artificial intelligence capabilities from commerce to residence Speaking of everyday life , AI is already monitoring energy usage in homes . The introduction of smart metres is intrinsically linked to reduced living costs , which is crucial as they rise significantly across the globe .
These solutions will only grow as time goes on and even incorporate mobility into the home energy grid to achieve further cost savings by leveraging overnight rates with bi-directional charging .
“ The global smart metre market is set to grow in the coming years , driven by targets set by the energy regulators ,” says Tal Ben-Shahar , VP Product Management at Gentrack .
100 August 2023