AI‑Driven Asset Performance Management Platform
Clean energy - Other
Enhancing renewable energy asset performance and reducing maintenance costs through proactive monitoring and predictive analytics.
Contact

Delfos Energy
Company Established Year
Who is this solution for
Info
Available
Project Status
Looking to expand internationally
Doing business in
Awards and certifications
Great Place to Work – Small Business
Recognizes Delfos as an outstanding employer with a strong culture and values.
Finalist – The smarter E Award (Smart Integrated Energy)
Acknowledges the Intelligence Asset Management platform’s innovation in smart energy integration.
Winner – EDP Open Innovation Prize
Awarded for Delfos’s predictive maintenance startup, including incubation and exhibition at Web Summit.
Product description
Delfos Energy’s AI-driven Asset Performance Management platform is a cutting-edge solution that revolutionizes the way renewable energy operations are managed. By leveraging artificial intelligence, real-time monitoring, predictive analytics, and data centralization, the platform offers a comprehensive suite of tools tailored for wind, solar, hydro, and storage assets.
One of the key innovative features of the platform is its ability to integrate sensor data, weather information, market trends, and historical data into a unified dashboard. This holistic approach allows operators to track key performance indicators (KPIs), detect anomalies, and forecast potential failures before they occur.
Utilizing digital twin models and advanced machine learning algorithms, the platform can identify component issues up to 3–5 months in advance of a breakdown. By providing automated alerts, conducting contractual availability audits, and quantifying energy loss, operators can take proactive maintenance actions to enhance asset reliability, reduce unplanned downtime, and lower maintenance costs by approximately 30%.
Furthermore, the platform enables operators to optimize energy production by 3–5% and make informed decisions regarding tariff structures and market participation. With a proven track record of deployment across more than 14 GW of renewable energy assets worldwide, the platform empowers asset owners, utilities, and O&M providers with actionable insights to drive performance optimization and embed sustainable practices into their energy portfolios.
Key characteristics and environmental benefits
- Real-time monitoring and predictive analytics for renewable energy assets
- Integration of sensor, weather, market, and historical data for comprehensive insights
- Early identification of component issues through digital twin models and machine learning algorithms
- Proactive maintenance approach to boost asset reliability and reduce downtime
- Approximately 30% reduction in maintenance costs and 3–5% increase in energy production
- Automated alerts, contractual availability auditing, and energy loss quantification
- Empowerment of operators with actionable insights for performance optimization
- Enhanced decision-making on tariff structures and market participation
- Global deployment across 14 GW of renewable energy assets
- Focus on sustainability and intelligent management practices
About the Company
Ask about AI‑Driven Asset Performance Management Platform
Hi there! I’m here to help you quickly understand what this green solution is about — without needing to read the full page.
You can ask me things like:
- What problem does it solve?
- How does it help the environment?
- What makes it different?
Let’s explore together!
You can try asking:
Oops, it seems like you're not a member.
Sign up! It's free. You'll be able to read all the articles you like, download PDFs, and get in contact with the respective owners.
Have an account already? Sign in here