Energy Solutions by Accso

The integration of smart metering systems into our customers' digital ecosystems is revolutionizing the way energy consumption data is collected and analyzed. This enables more precise, error-free and timely recording of energy consumption data for the benefit of all parties.

The intelligent control of decentralized energy suppliers plays a crucial role in modern energy supply. By using advanced technologies, these suppliers can be integrated into the power grid more efficiently, contributing to a more stable and sustainable energy supply.

The use of AI technologies is opening up new possibilities in the energy industry. Artificial intelligence can be used to perform complex data analysis, make predictions, and optimize decision-making processes. This results in more efficient use of resources and improved operations management.

Process automation is another important aspect of modern energy supply. By automating routine processes, companies can increase efficiency, reduce costs and minimize human error. This contributes to an overall more reliable and cost-efficient energy supply.

Connecting IoT devices to a central control platform (digital lab) enables comprehensive monitoring and control of various devices and systems. This integration improves efficiency and responsiveness by collecting and analyzing real-time data to drive informed decision-making.

Hybrid and cloud solutions provide flexible and scalable IT infrastructures that allow companies to make optimal use of both local and cloud-based resources. These solutions support adaptability to changing business requirements and promote cost-efficient use of IT resources.

Data analytics makes it possible to analyze large amounts of consumption and production data. This enables companies to identify patterns and trends in order to optimize energy production and distribution and make informed decisions.

We use machine learning techniques to analyze and develop predictive models. The models learn from historical and real-time data and help our customers improve the efficiency of energy generation and consumption.

Predictive maintenance uses data analytics and machine learning to predict the condition of energy assets and schedule maintenance. This minimizes unplanned outages and optimizes uptime for power plants and grid components.

Data integration combines information from various sources, such as smart meters, weather data and grid sensors, into a unified system. This improves the overall view and enables coordinated control and optimization of the energy system.

Apps and clients for production, maintenance, customer platforms and sales play a crucial role in the energy industry. They enable energy companies to efficiently monitor and control their production processes, coordinate maintenance work and offer customers a user-friendly platform for managing their energy services. They also support sales through targeted customer interactions and personalized offers.

Development and back-end integration are crucial to the seamless functioning of these applications. In the energy industry, this means efficiently connecting various systems and data sources, such as smart meters, sensors and customer databases. This enables smooth data processing and analysis, which is essential for optimizing operations and improving the customer experience.