Learn how to monitor submarine power cables, predict electricity prices, forecast emissions from power plants, and more!
Power cables are one of the most vulnerable parts of the power grid. Any power transmission failure represents costs to the grid operators in the millions of euros. In addition, the use of special vessels to recover and replace the cables is expensive. If a replacement cable is available, system downtime can range from a few weeks to several months. If a new replacement cable needs to be made, the repair may be delayed for additional months.
Our AI could interpret vibration data generated by DFOS (Distributed Fiber Optic Sensors) to determine burial depth (DoB) and temperature along the cable in real time.
Insights into the future development of electricity prices can significantly influence the decision-making of electricity generation companies, electricity suppliers and consumers. Since electricity cannot be stored and requires a constant balance between supply and demand, the price of electricity is inherently volatile. This poses high risks for market participants. In addition, other factors, such as weather conditions and bottlenecks in the power grid, can also affect prices.
Our AI was able to predict electricity prices in a scenario with highly changing parameters (e.g., weather forecast) one day in advance with a very high level of certainty (84%).
Carbon pricing is a climate policy approach used in a number of countries worldwide that requires emitters to pay for the tons of carbon dioxide (CO2) they produce. For example, the European Union Emissions Trading Scheme covers CO2, nitrous oxide (N2O), and perfluorocarbons (PFCs) emitted by 11,000 energy-intensive facilities in the power and manufacturing sectors in 31 European countries.
By analyzing 75 signals, our AI was able to predict the emission of 3 toxic gases with a determination coefficient of 99%.