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AI AnalysisClassification & Focus Areas
"AI-driven asset performance management platform unifying SCADA data for wind, solar, BESS — predictive maintenance and KPI tracking for renewable asset managers."
Domain Affinity
Technology Breakdown
Offerings Products & Services
Delfos Energy Platform
AI-driven platform for renewable energy asset performance management, offering centralized monitoring, predictive analytics, and automated operational management across wind, solar, hydro, storage, and distributed generation assets.
Case StudiesReferences & Success Stories
Eólicas Babilônia Avoids 9,629 MWh in Projected Losses with Delfos Energy
Using Delfos' predictive intelligence, Eólicas Babilônia identified 28 subcritical anomalies across wind turbines, enabling an action plan executed in 45 days that avoided an estimated 9,629 MWh of losses over one year.
Finlight Partners with Delfos Energy to Deploy AI Virtual Engineer Across European Solar Portfolio
Finlight partnered with Delfos to deploy an AI Virtual Engineer across its European solar portfolio, integrating 25+ OEM platforms, reducing monitoring time by 50%, and lowering asset unavailability from 9–12% to 1–2%.
Damage Detection in LSS (Slow Speed) Bearings Prevents Emergency Shutdown in Acciona WTG Model
Delfos' early detection of a progressive thermal deviation in an Acciona wind turbine's low-speed shaft bearing allowed targeted lubrication, reducing temperature by 4.5°C and preventing an unplanned shutdown, with an estimated loss avoidance of 3,300 MWh.
How Renova Increased Net Generation by 20.3% in One Quarter, Despite 40% Higher Curtailment
Renova leveraged Delfos' platform to unify SCADA and financial data, enabling cross-functional collaboration that increased net generation by 20.3% in a single quarter despite 40% higher curtailment.
Failure Prediction Secures 7,778 MWh of Generation Over 299 Days and Reduces Maintenance Costs
Delfos' prediction module detected a 4.43°C temperature deviation in the main bearing of a 2.1 MW wind turbine, enabling 299 days of continuous operation and generating 7,778 MWh without interruption, while avoiding emergency repair costs and loss.