Our mission is to develop advanced cloud-based solutions that provide a clear, comprehensive, and real-time understanding of the potential of the electrical grid. In this way, we pursue a strategic and visionary approach, which is essential to address the challenges of the global energy transition and the integration of renewable energy sources.
Using machine learning algorithms, predictive models, and robust digital infrastructures, we enable energy operators to make rapid, data-driven decisions. This data-oriented approach not only ensures greater efficiency in plant management but also helps reduce operating costs, contributing to a more sustainable and resilient energy future.
What Does Turning a Mission into Reality Mean?
Turning a mission into reality means addressing complex problems and translating them into concrete solutions that generate tangible value for our partners. From wind to hydroelectric to solar energy, every project we carry out is guided by a common goal: to deliver innovation, sustainability, and efficiency.
Below are some of the projects we have proudly worked on over the years: concrete examples of how our expertise and innovative solutions have successfully handled complex challenges, creating real value for our partners.
Stabilizing the Electrical Grid: The Solution for Terna
The integration of renewable energy, particularly wind energy, has introduced new challenges for the energy sector. Its intermittent and unpredictable nature can risk grid stability, and this is where our work comes in. For Terna, the need to address this complexity was clear: to accurately forecast wind production to ensure optimal energy reserve management, reduce grid investment costs, and optimize dispatching and unit commitment operations.
We developed a tailored forecasting solution by combining the use of machine learning and deterministic models to analyse both meteorological data and the technical specifications of the plants. This system allowed for extremely accurate forecasts, both at the regional level – necessary for market zone management – and for individual wind farms of national importance. Using an advanced technique known as “ensemble,” we managed to integrate different predictive approaches, further improving the system’s overall accuracy.
Our platform provides updated data six times a day, with forecasts extending up to four days. This gave Terna a huge advantage: the ability to efficiently plan and manage grid operations.
The result? A more stable and better-organized grid. Terna was able to improve energy reserve management, reduce operating costs, and optimize dispatching activities. Additionally, this solution enabled better integration of renewable sources, contributing to a smoother and more sustainable grid.
Innovation and Value in the Hydropower Sector: The Project for Enel Green Power
The challenge posed by Enel Green Power in managing its hydroelectric plants was equally complex. The request was clear: monitor a vast network of facilities distributed worldwide, overcoming language barriers and different operating protocols. The primary objective was to reduce maintenance costs while optimizing the efficiency and reliability of the plants.
Historically, the maintenance of hydroelectric plants follows a scheduled approach based on periodic interventions. While reliable, this method often leads to high costs due to the replacement of components that are still functional and the failure to detect impending malfunctions. Moreover, compared to other renewable sources such as solar and wind, the hydropower sector has been slower in adopting innovative digital solutions.
To address this challenge, we developed an interactive platform designed to transform the management of hydroelectric maintenance. The solution uses machine learning algorithms to analyze more than 720 analog signals from key components such as turbines, conduits, generators, and transformers. The platform combines operational data provided by Enel with our analytical expertise to identify anomalies and deliver accurate fault predictions.
One significant success story for this solution occurred at a 1,000 MW hydroelectric plant in Caserta, Italy. Thanks to the platform, an anomaly in generator temperatures was detected before traditional monitoring systems could identify it. This allowed operators to intervene immediately, preventing potential downtime and ensuring uninterrupted operation.
The value generated by this solution was evident. Enel significantly reduced maintenance costs improved the operational continuity of its plants and increased the overall efficiency of its hydroelectric network.
Solar Energy: Predictive Maintenance to Maximize Efficiency
This project is one of many we have successfully delivered for Enel in the solar energy sector, showcasing our expertise and commitment to driving innovation in renewable energy.
In the solar sector, our projects have also delivered impactful and innovative solutions. One of the most significant projects, developed for Enel Green Power, focused on predictive maintenance of photovoltaic plants.
Through a combination of in-depth analysis of electrical and environmental signals, our solution was able to detect impending faults before they occurred. This enabled operators to take timely action, avoiding costly plant downtime and ensuring continuous and efficient operation. The effectiveness of our approach contributed to optimizing plant productivity, minimizing operating costs, and increasing overall profitability.
Wrapping Up
These success stories represent just a portion of our daily commitment to translating our mission into tangible results. Each project, from wind to hydroelectric to solar, demonstrates our ability to help clients achieve their sustainability, innovation, and operational efficiency goals.
Looking at these experiences, we can proudly say that our work goes beyond technological development. We contribute to shaping a more sustainable and equitable energy future, laying the foundations for a more resilient and responsible global ecosystem.
