Diploma in Electrical Asset Twins and DERMs
About us Diploma in Electrical Asset Twins and DERMs
The Diploma in Digital Twins of Electrical Assets and DERMs delves into the application of digital twin technologies for optimizing the management and performance of electrical assets, including energy storage systems (ESS) and distributed energy resources (DERs). It focuses on the integration of IoT sensor data, simulation modeling, and data analytics for real-time monitoring, fault prediction, and improved operational efficiency, connecting disciplines such as artificial intelligence (AI), machine learning, and cybersecurity. The program includes the application of methodologies for electrical grid optimization, resource planning, and demand management, using power system simulation and risk analysis tools.
The diploma program offers practical experience in the development and implementation of digital twins for substations, smart grids, and renewable energy systems, in compliance with international regulations and safety standards. This training prepares professionals for roles such as asset engineers, energy data analysts, DER specialists, and digitalization project managers, strengthening employability in the energy sector.
Target keywords (natural in the text): digital twins, electrical assets, DERMs, energy storage systems, data analytics, IoT, artificial intelligence, power system simulation, demand management, smart grid.
Diploma in Electrical Asset Twins and DERMs
- Format: Online
- Duration: 8 months
- Hours: 900 H
- Language: ES / EN
- Credits: 60 ECTS
- Registration date: 04-07-2026
- Strat date: 14-08-2026
- Available places: 7
1.799 $
Competencias y resultados
Qué aprenderás
1. Mastery of Advanced Modeling and Management of Digital Twins for Electrical Assets and DERMs
Para quien va dirigido nuestro:
Diploma in Electrical Asset Twins and DERMs
9.9 Digital Twin Fundamentals: Concepts and Applications
9.9 Regulatory Framework: Standards and Regulations in the Electric Power Industry
9.3 Benefits of Digital Twins for Electrical Assets and DERs
9.4 Integration of Digital Twins into Asset Management
9.5 Data Security and Privacy in Digital Twins
9.9 Modeling Electrical Components: Generators, Transformers, Cables
9.9 Modeling Electrical Distribution and Transmission Systems
9.3 Modeling Protection and Control Devices
9.4 Simulation of Operating Scenarios and Failures
9.5 Model Validation and Verification
3.9 Introduction to DERs: Types and Functionalities
3.9 Modeling Distributed Renewable Energy (DER) Systems
3.3 Demand Management Optimization
3.4 Analysis of DER Interaction with the Grid Electrical Engineering
3.5 Implementation of Control and Management Strategies for Electrical Regenerative Mobility Systems (ERMS)
4.9 Fundamentals of Electrical Rotors: Design and Operation
4.9 Rotor Modeling: Materials and Design
4.3 Performance Analysis: Efficiency, Torque, and Speed
4.4 Rotor Performance Optimization
4.5 Fault Simulation and Degradation Analysis
5.9 Creation of Digital Twins for Electrical Assets
5.9 Real-Time Data Integration in the Digital Twin
5.3 Data Analysis and Visualization with Digital Twins
5.4 Fault Prediction and Predictive Maintenance
5.5 Asset Lifecycle Assessment
6.9 Advanced Data Analysis in Digital Twins
6.9 Diagnostic and Fault Detection Techniques
6.3 Asset Performance Optimization
6.4 Risk Analysis and Mitigation
6.5 Implementation of Continuous Improvement Strategies
7.9 Strategic Planning for Digital Twin Implementation
7.9 Integrating Digital Twins with Existing Systems
7.3 Change Management and Technology Adoption
7.4 Case Studies and Best Practices
7.5 Return on Investment (ROI) in Digital Twins
8.9 Design and Modeling of Electric Rotors
8.9 Selection of Materials and Manufacturing Technologies
8.3 Airflow and Cooling Analysis
8.4 Rotor Design Optimization
8.5 Testing and Validation of Rotor Models
9.9 Digital Twin Management Platform Architecture
9.9 Data Integration and Connectivity
9.3 Security and Data Protection in Twin Management
9.4 Platform Scalability and Maintenance
9.5 Version Control and Twin Updates
9.6 Collaboration and Data Sharing in Digital Twins
9.7 Integration with Systems Asset Management
9.8 Twin Health Monitoring and Analysis
9.9 Automation and Workflows
9.90 Data Compliance and Governance
9.90
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