AI IN ENERGY
ELISABETH GOOS
TITLE : EMEA LEADER SUSTAINABILITY SERVICES
COMPANY : IBM LOCATION : GERMANY
EXECUTIVE BIO
A Harvard University graduate ,
Elisabeth Goos gained a Certificate in Sociology and World History , which is one of many further accreditations to support her career . With previous experience from Capgemini , Roland Berger , and Deutsche Welle , Goos held a number of positions throughout the
years , but over the past decade has focused on delivering digital strategy and sustainable transformation across multiple expert teams .
Firms are responsible for managing the emissions of their assets , such as premises , energy grid infrastructure , vehicles , and industrial equipment that contribute to the overall sustainability achievements of their operations .
“ This alone , however , isn ’ t enough . Businesses and policymakers must also ensure they are working together so that infrastructure and assets remain connected across the traditional boundaries of corporate enterprise ,” says Goos .
AI manages utility sustainability strategically Though consumption is at the mercy of infrastructure and the ability to transfer lossless electricity , managing where that energy is used and how much is almost impossible on an industrial scale . Not only will AI determine where the consumption is at its highest , but optimise the infrastructure and operational processes to ensure the most cost-effective , low-consumption energy usage for an organisation .
According to Goos , there are several methods that intelligent solutions can manage assets in this way .
“ Software can now accurately predict how much energy assets require , be it a water pump or a lighting system , which ultimately means that companies can dial up and dial down energy requirements ,” says Goos .
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