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Smart Grid

Smart Grid answers to major trends impacting the energy and utilities industry – digitalisation, energy efficiency, and resiliency.

Accelerate network performance

Our Smart Grid solutions

Optimised energy production

Identify patterns and anomalies to predict future trends, and recommend optimisation strategies. Maximised efficiency and minimised environmental impacts.

High velocity trading

Respond faster to market changes with AI. Gain insights into your trading asset portfolios to compare against the market, track asset-level profitability, and find poor performers.

Grid planning & optimisation

Cost-efficient network planning and optimisation for new forms of energy production and small-scale production. Balance the grid with location analytics and external data.

Grid resiliency

Boost energy network reliability in an era of rising prices energy with AI. Preventive grid maintenance, powered by machine learning, detects issues before they occur, optimizing maintenance and enabling rapid responses to faults and disruptions.

Chris-round

Christoffer Winquist

Sales Executive,
Energy & Utilities

Contact me!

Got something on your mind? Questions about us or our solutions? I'd be happy to help.

You can book a meeting in my calendar or call me directly +358 50 387 8670.

Optimised energy production

Maximise efficiency, minimise environmental impact

Respond to growing demands by improving the performance of energy production

The demand for high-quality and cost-efficient energy services is increasing rapidly. Energy producers can optimize the complex demand-production system by improving the predictability, reliability and utilisation of production, storage and distribution elements.

/ Collect data, predict and optimise

Improve production optimisation and power plant operations with real-time insights. Scenario modelling and recommended optimal operating strategies help you to maximise efficiency, reduce costs, and minimise environmental impact.

Data collected from various sources, such as external sources, sensors, SCADA systems, and historical data provide a comprehensive view of energy production and consumption patterns.

Detect patterns and anomalies within the data, predict future trends, and propose novel optimization strategies. Enhanced forecasting accuracy enables the identification of opportunities for improving asset execution in energy production.

The benefits of optimised energy production

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Increase production accuracy by using more accurate and real-time forecasts for energy production

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Enhance resiliency by optimising the production, storage and distribution

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Reduce costs by finding weak spots in asset portfolios and processes

High velocity trading

Boost trading performance

Respond faster to market changes with AI

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:

  • financial perspective
  • relative performance against the markets
  • customer costs
  • operative efficiency

 

/ Track, monitor and forecast 
 

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.

The benefits of high velocity trading

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Catch increasing revenues in 15-minute interval energy markets

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Get better feedback on selected hedging and forecasting models

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Gain insights into poor performers in the trading asset portfolios

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React faster to market changes

Grid planning & optimisation

Balance the grid with optimal locations

Balanced and optimised grid with location analytics and external data

In recent years, the distributed small-scale production connected to the distribution network has seen a significant increase. The costs of construction, materials, and fuels have risen, causing consumers to struggle with spiraling prices. Furthermore, the electricity market law requires companies to report the cost-effectiveness of their development initiatives.

Meeting reliability requirements alone is no longer sufficient; cost-effectiveness has emerged as an equally important consideration. Achieving cost-effectiveness demands even more careful planning.

This entails acquiring more precise information for investment planning with fewer personnel,  forecasting changes in the customer landscape, and simplifying the determination of construction costs. By combining internal and external data, sufficient information can be provided to support planning and decision-making.

The benefits of grid planning & optimisation

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Cost-efficiency for new forms of energy production and small-scale production

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Network balancing with smart network planning

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Location planning in an early phase minimise construction costs

Grid reciliency

Move to preventive maintenance

Ensure grid resiliency with AI-driven automation
Grid resiliency can be significantly improved through the implementation of cutting-edge automation, enabling the precise and efficient detection of anomalies in the network before they escalate into faults or disturbances.
 
/ From calendar-based maintenance to preventive
 

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. 

The benefits of preventive grid maintenance

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Increase the reliability of energy networks in a era of rising energy prices

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Avoid unnecessary renewals of devices and components with precise and timely maintenance

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Find the fault location immediately, e.g. after a storm

Let us help you accelerate network performance

 

– how we work

Our goal is to help you tackle digitalisation, energy efficiency, resiliency.

1
Contact
Book a meeting with our experts or request a quote.
2
Assessment
We'll assess your needs and current state to propose a plan.
3
Offer
You will receive our offer and plan. The journey towards a truly Smart Grid begins.

Get quote

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