Machine learning can predict faults in the Norwegian power system But do we need more data sources?
Co-author: Christian Andresen – The EarlyWarn project aims to predict faults in the power system by developing models that use big data, machine…
IoT based monitoring for power grid components
State of the art sensor technology and communication networks allow new ways of condition monitoring, control and maintenance in the power grid. Increasingly…
Artificial intelligence and big data in the petrochemical sector – probing and imaging technology: then and now
Several decades ago, geophysical imaging played a vital role in revolutionising the oil and gas industry. The large-scale seismic imaging of hydrocarbon reservoirs…
