Long Term Analysis of the Localization Model Based on Wi-Fi Network

2016 ◽  
pp. 87-96 ◽  
Author(s):  
Rafał Górak ◽  
Marcin Luckner
Keyword(s):  
Model Based ◽  
Localization Model ◽  
Term Analysis

scholarly journals A Short-and Long-Term Analysis of the Nexus between Bitcoin, Social Media and Covid-19 Outbreak

Heliyon ◽  
2021 ◽  
pp. e07539
Author(s):  
Azza Bejaoui ◽  
Nidhal Mgadmi ◽  
Wajdi Moussa ◽  
Tarek Sadraoui
Keyword(s):  
Social Media ◽  
Short And Long Term ◽  
Term Analysis

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

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