AI-based energy-driven and non-energy services
Improvement of the asset management and the operational efficiency of the local smart distribution grid; deployment of cross-network coordinated management and operation with water networks.
Improvement of the asset management and the operational efficiency of the local smart distribution grid; deployment of cross-network coordinated management and operation with water networks.
Local power network congestion management is highly required due to high shares of intermittent RESs in the ASM headquarters area, as well as the need for reducing the reverse power flow power flow.
The aim is to support a condition-based and risk-based maintenance of both existing and innovative power components, as well as for the new digital environment.
VEOLIA in this pilot, at building level, is covering the role of facility manager (FM), aiming at generating analytics to improve FM processes.
Addressing an Energy Saving Verification Service (IPMVP based) for increasing the trust on EP Contracts.
Demonstrating how AI analytics can contribute to achieving an economic benefit optimisation as well as the reduction of energy consumption in a DHN.
A prediction engine that optimizes operational planning and reserve allocation costs and overall improving reliability of the grid operations.
AI services to be used to foster predictive maintenance strategies for system operators.
How Qymatix expertise in AI and Predictive Sales Analytics helps a B2B distributor to increase the lifetime value of over 700 customers.
The Copernicus Programme provides a huge amount of satellite data and AI technologies could be used for accurately extracting the semantic from multisource, multiscale, multidimensional and multitemporal data.
"HyDrone is a technology program to develop new concept underwater vehicles, highly reconfigurable with different payloads"
Handle large volumes of service interactions