Energy of the Future

Artificial Intelligence:

(Machine Learning, Deep Learning, Neural Networks)

• Simple Regression.
• Simple Classification.
• 1D signal classification.
• 1D Signal Regression.
• Image Recognition.
• AI based power quality analyses:
  • Voltage, current – RMS, Frequency
  • Harmonics (up to 64th order)
  • Active, reactive and apparent power
  • Power factor
  • Vector diagram

Augmented Reality:

• 3D Models of the trainer’s modules.
• Digital Twin of the trainers.
• AR for IIoT features.
• AR User Manual.
• Monitoring and Control from AR models.

Mixed Power Microgrids:

• FPGA based Real Time HIL.
• Simulation of various generation plants.
• Simulation of power transmission and distribution.
• Simulation of complex loads.
• Simulation of a network grid.
• Real Power in the Loop.
• Mixed-grid trainer by mixed combination of PLE hardware trainers with HIL systems.

Industrial IoT:

• Introduction to Sensors and Actuators.
• Introduction to Data Acquisition and Control.
• Conversion of Sensor’s Data to Physical Quantities.
• Statistical Analysis.
• Transmission and Reception of Data.
• PLE Trainers bidirectional data communications with IIoT gateways.