Enel
Analytics, Automation & Predictive Maintenance for Solar Operations
Industry: Energy & Utilities
Enel is a global leader in the energy sector, operating in over 30 countries with a strong focus on renewable energy, innovation, and sustainability.
Managing one of the world’s largest portfolios of solar assets, Enel continuously drives digital transformation to optimize operations and support its sustainability goals. To improve time-to-market for digital energy services and streamline internal processes, the company set out to modernize its platform development — powered by a scalable, Kubernetes-based infrastructure.
Status quo
Enel’s solar operations generated massive volumes of operational data.
While the system supported basic operations, much of the data remained underutilized due to the lack of real-time analytics and integrated workflows. Maintenance processes were largely reactive, and the absence of predictive insights limited the ability to optimize asset performance across its rapidly expanding solar fleet.
The challenge
Enel needed a data-driven solution capable of transforming solar operations through real-time monitoring, intelligent automation, and predictive maintenance.
The system had to process large data streams, automate critical workflows, and enable proactive asset management – all while supporting global scalability and aligning with Enel’s long-term sustainability strategy.
The solution
Together with CONVOTIS, Enel deployed a customized analytics and automation framework designed for solar plant operations.
The solution provides real-time performance monitoring, automated strategic workflows, and predictive maintenance powered by intelligent asset models.
The cloud-native architecture is fully scalable, enabling seamless growth while delivering actionable insights that enhance operational efficiency, asset longevity, and sustainability-driven decision-making.
The result
Enel now operates a smarter and more resilient solar infrastructure.
System failures have been significantly reduced, maintenance cycles are proactively managed, and data-driven decision-making has been accelerated across operational teams. This transformation strengthens Enel’s position as an innovation leader in the global energy sector – and directly supports its mission to deliver sustainable, reliable energy worldwide.
Technical
Highlights
Complex projects can also be summed up from a technical perspective. Key figures and specific features provide insight into the implementation – measurable, tangible, and transparent.
- Real-time analytics for solar plant performance and operations
- Intelligent automation of workflows and monitoring processes
- Predictive maintenance powered by machine learning models
- Scalable, insight-driven architecture supporting sustainable operations
Enel leverages real-time analytics and predictive maintenance to maximize the performance of its global solar infrastructure. The solution reduces downtime, optimizes maintenance costs, and enables data-driven decisions fully aligned with sustainability goals.
Your IT Transformation starts here.
Let’s talk about your goals.
You’ve seen our success stories – now let’s plan your IT transformation together. Whether you are at the beginning of your digital journey or ready for the next step, our experts are here to support you.