Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids

Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids

Microgrids have recently emerged as the building block of a smart grid combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions [...]

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Veröffentlicht in:Energies (Basel) 2021-05, Vol.14 (9), p.2704
1. Verfasser: Herodotou, Herodotos
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Alternative energy sources
Carbon
Consumption
Deep learning
Distributed generation
Electricity
Electricity distribution
Energy management
Energy resources
Energy storage
Forecasting
Machine learning
n/a
Neural networks
Optimization
Renewable resources
Support vector machines
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Zusammenfassung:Microgrids have recently emerged as the building block of a smart grid combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions [...]
ISSN:1996-1073
1996-1073
DOI:10.3390/en14092704