Cutting-edge expertise and digital research on wind systems

In addition to WindDATA, WindDEEP and WindCAST, Zelya Digital Energy Management also offers a wide range of tailored services.

These services enable the leveraging of the best of the latest digital technologies to deeply explore the functioning of your wind farms and integrate them into the management of your other energy assets.

Our fields of expertise

Data aggregation & Development of Customized Interfaces

I.T. development of dashboards for wind farm data management

Based on your internal energy flows and external available data (wholesale power prices, wind predictions, network capacity...), we help you build coherent data bases, with 3 key objectives:

facilitate further integration of additional data

draw up simple and comprehensive web interface to monitor and analyze this data

enable AI analysis based on this data

DeepScada: Centralized Analysis of All Your Facilities

Centralized Scada system for solar, wind, hydro, and battery plants

We harmonize your various data sources, whether they come from solar, hydroelectric, or battery assets, by cross-referencing with your key information.

Homogenization of existing SCADA systems at no additional cost, on cloud or dedicated server

Integration of balancing data, spot prices, and weather data

Intuitive economic and technical analysis of past and future operations

Data exportation & APIs for optimized integration into other corporate tools

Machine Learning, Deep Learning, Genetic Algorithm modeling

Advisors for the use of deep learning in the management and analysis of wind farms

We leverage our expertise in algorithms, neural networks, and technical audits of wind farms to make sense of data, facilitate analysis and decision-making.

Treatment, homogenization and AI analysis models based on real time data

development of modules for forecasting, predicting and optimizing maintenance and operation in function of modeling of past and actual data using AI models

AI and Digital Twins to Optimize Energy Management

WindDeep participates in Europe’s most prestigious research programs, collaborating with industry leaders such as the ITN Institute of the Paris School of Mines, to advance the digitalization of wind energy. For the past two years, we have been dedicated to designing digital twins, virtual models that replicate wind turbines in real time, enabling a better understanding of their behavior, interactions with the environment, and connected systems.

Thanks to artificial intelligence and deep learning, we analyze massive datasets to predict failures before they occur, reduce downtime, and boost energy efficiency by up to 10%. Our goal is clear: to transform wind farm management with predictive solutions that maximize performance and sustainability.

Description

WindDeep: Leader in Wind Energy Digitalization

WindDeep specializes in the intersection of wind energy and the most advanced digitalization technologies, delivering innovative solutions to optimize wind farm management. With tools like WindDATA, WindDEEP, and WindCAST, alongside personalized services based on data science, we transform raw data into strategic decisions. Our expertise is backed by partnerships with prestigious European research programs, such as the ITN Institute of the Paris School of Mines, where we have been designing digital twins for two years to revolutionize the understanding and performance of wind turbines.

Areas of Expertise

Data Aggregation and Custom Interfaces
We build robust energy databases, integrate additional data (meteorological, operational), and develop custom web interfaces for real-time monitoring and analysis. We implement AI-driven analytics to provide actionable insights.

  • Centralized and Predictive SCADA Systems

We provide advanced SCADA solutions with integration of spot prices from energy markets (https://www.epexspot.com), hourly analyses, and real-time alerts. Our systems feature predictive AI to anticipate failures, reduce downtime, and optimize operational efficiency.

  • Financial Reports and Analytical Accounting

We generate financially quantified performance reports, detailed hourly SCADA analyses, and analytical accounting for wind turbine alarms. We offer tools to track wind energy financial performance and manage renewable production alerts.

  • Machine Learning, Deep Learning, and Digital Twins

We leverage machine learning, deep learning, and genetic algorithms to process real-time data, develop digital twins of wind turbines, and create forecasting and optimization modules. These technologies enhance the understanding of turbine interactions with their environment, boosting performance by up to 10%.

Our Commitment: Innovation and Sustainability

We collaborate with industry leaders in European research programs (https://ec.europa.eu/info/horizon-europe) to push the boundaries of wind energy digitalization. For two years, our expertise in predictive AI and digital twins has enabled our clients to anticipate challenges, reduce operational costs, and advance toward more sustainable energy.

Keywords

WindDATA, WindDEEP, WindCAST, energy data science, data aggregation, custom interfaces, digital energy management, predictive AI, digital twins, centralized SCADA, wind financial performance, deep learning, machine learning, sustainable wind energy, prestigious research.