Microgrid Energy Management System With Embedded Deep Learning Forecaster and Combined Optimizer

Microgrid Energy Management System With Embedded Deep Learning Forecaster and Combined Optimizer

This paper presents an energy management system for the microgrid present at Wroclaw University of Science and Technology. It has three components: a forecasting system, an optimizer and an optimized electrical vehicle charging station as a separate load for the system. The forecasting system is bas...

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Bibliographic Details
Main Authors: Vishnu Suresh, Przemyslaw Janik, Josep M. Guerrero, Zbigniew Leonowicz, Tomasz Sikorski
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Microgrid energy management
solar PV output forecasting
deep learning
MIDACO
electrical vehicle charging stations
LSTM – autoencoders
Online Access:https://ieeexplore.ieee.org/document/9249013/

Internet

https://ieeexplore.ieee.org/document/9249013/

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