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Building controls are a prime example of where artificial intelligence (AI) can support and accelerate the energy transition. With emissions from building use continuing to grow, effective efficiency tools are becoming more important
Artificial intelligence does not have to be the harbinger of doom that many make it out to be
FINNISH CREATIVITY Finland’s experience in the cellular industry has led to a rich breeding ground for innovative digital tools
GIFT DATA The ability to share accurate data between companies is essential to the digitalisation of the energy sector
KEY QUOTE We cannot solve today’s problems by adding more transmission lines or hardware alone ...
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Around 50% of the shift from fossil fuels to renewable forms of energy has been a digitised transition to 2020, says Energinet, Denmark's power system operator. As the world digitises further, the already vast volumes of data will only increase in mass. Advances in Artificial Intelligence technology and machine learning tools provide ways of processing this tsunami of data into a new world order
Data is having a major impact on our world. In energy, an influx of data is changing the roles of each player across the value chain but it needs to be gathered and processed in a suitable way to have the greatest influence. Ensuring the data is right to begin with is essential to the success of the energy transition
Advocates of so-called digital twins—simulated computer modelling of technologies at work—see them as vital tools for managing the complexity of multi-level electricity systems and the digital control of energy-efficient buildings
Commitments to reaching net zero carbon emissions are important but the real test is moving from the “what” to the “how”. This requires a far more inclusive and holistic approach, says Jeff Connolly, CEO of Siemens Australia & New Zealand
Smart buildings are energy-saving, sustainable buildings. Clustered into smart city districts, they play a crucial role in climate protection. The adaptive, open-source technology to make this possible is already available, says Matthias Rebellius of Siemens Smart Infrastructure
In an increasingly digital world, it is inevitable that artificial intelligence (AI) will support the energy transition. Companies and end-users need to become comfortable with it as soon as possible, says Dave Ferguson from SAS UK & Ireland
