Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques

Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques

This paper proposes an Intelligent Monitoring System (IMS) for Photovoltaic (PV) systems using affordable and cost-efficient hardware and also lightweight software that is capable of being easily implemented in different locations and having the capability to be installed in different types of PV po...

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Bibliographic Details
Main Authors: Aghaei, M. (Author), Emamian, M. (Author), Eskandari, A. (Author), Milimonfared, J. (Author), Nedaei, A. (Author), Sizkouhi, A.M (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
autonomous monitoring
Autonomous monitoring
cloud computing
Cloud computing
Cloud-computing
Data acquisition
Data handling
ensemble learning
Ensemble learning
fault detection
Fault detection
Faults detection
Forecasting
intelligent monitoring system
Intelligent monitoring systems
internet of things
Internet of things
Long short-term memory
Monitoring
Nearest neighbor search
Open source software
Open systems
Output power
PhotoVoltaic plant
Photovoltaic systems
power prediction
Power predictions
Support vector machines
System use
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