Smart Grid

Artificial intelligence offers the capability to identify potential opportunities for automated trading in intraday markets. With an advanced analytics approach, it's possible find potential spots for improvement behind the AI hype, and find the optimal solutions to accommodate the diverse asset portfolios of individual customers.

Data collected from asset-level data sources and across all physical markets can be utilized to deliver accurate follow-ups on changing situations on the fast-moving energy markets:

Several practical implementations of AI for enhancing trading performance include analytics for portfolio hedging follow-up, monitoring asset-level performance and profitability, and conducting comparative analyses of trading performance against the market.

AI enables the seamless integration of asset planning, optimization, operational, and financial systems, delivering real-time analytics and actionable insights.

Preventive maintenance relies on diverse data sources, including asset records, historical data, IoT sensor data, and the power of AI-driven predictive analytics. This synergy of data can pinpoint vulnerabilities within the grid system and identify when components of the grid are about to fail.

A smart and resilient grid help you in both finding an optimised maintenance plan and react fast to incoming disturbances.

• By optimising maintenance plans with AI, you'll make sure that assets are not changed too early, nor too late, leading to cost savings but also extends the lifespan of critical assets.
• React faster to incoming faults or disruption by calculating fault, possible fault, or disturbance locations immediately, for example, after a storm.