Artificial Intelligence (AI)
We resort to artificial intelligence technologies to predict and anticipate better energy generation from renewable sources and customer energy demand, but also to detect network data anomalies, reduce energy losses and related costs, etc.
.
ORES integrated intelligent chatbots into its customer service in 2018 to improve the user experience.
Advanced algorithms enable these chatbots to provide consistent and precise responses to customer inquiries. They handle a wide range of topics with uniformity and precision which are essential in the energy sector.
The chatbots leverage large data sets to provide detailed insights on accounts, consumption patterns, and energy-related queries, thereby minimising human errors and strengthening customer trust.
Their fast response times are a significant winning asset, as they can process thousands of requests simultaneously with quasi-instant efficiency, thereby reducing waiting times. Available 24/7, they provide continuous support, thereby making customer service more flexible.
Since 2018, ORES has implemented Deep Learning, a game-changing AI technology, to enhance electricity distribution.
Developed by ORES and the University of Liège, the O-One tool utilises complex models to predict grid congestion so as to be able to take preventive measures and optimise distribution. This proactive approach reduces the risk of power outages and enhances service quality. Beyond congestion prevention, Deep Learning optimises resource management, preventive maintenance, and grid security. It moreover analyses large data sets to enhance reliability and efficiency for residential and industrial clients.
ORES invests in the training of its staff to develop expertise and maximise the benefits of AI-driven technologies.