Cyclical and  seasonal patterns of India’s GDP  growth rate through the eyes of Hamilton and Hodrick Prescott Filter models

Bhowmik, Debesh; Poddar, Sandeep

doi:10.46977/apjmt.2021v01i03.002

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…This procedure involves projecting y t onto the space of d-step-ahead and d-step-behind linear predictions, where d is a bandwidth parameter that should be selected in advance [62]. The CFRW filter is a linear projection:…”

Section: Christiano-fitzgerald Random Walk Filtermentioning

confidence: 99%

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

Stefenon

Seman

Neto

et al. 2023

Sensors

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Disruptive failures threaten the reliability of electric supply in power branches, often indicated by the rise of leakage current in distribution insulators. This paper presents a novel, hybrid method for fault prediction based on the time series of the leakage current of contaminated insulators. In a controlled high-voltage laboratory simulation, 15 kV-class insulators from an electrical power distribution network were exposed to increasing contamination in a salt chamber. The leakage current was recorded over 28 h of effective exposure, culminating in a flashover in all considered insulators. This flashover event served as the prediction mark that this paper proposes to evaluate. The proposed method applies the Christiano–Fitzgerald random walk (CFRW) filter for trend decomposition and the group data-handling (GMDH) method for time series prediction. The CFRW filter, with its versatility, proved to be more effective than the seasonal decomposition using moving averages in reducing non-linearities. The CFRW-GMDH method, with a root-mean-squared error of 3.44×10−12, outperformed both the standard GMDH and long short-term memory models in fault prediction. This superior performance suggested that the CFRW-GMDH method is a promising tool for predicting faults in power grid insulators based on leakage current data. This approach can provide power utilities with a reliable tool for monitoring insulator health and predicting failures, thereby enhancing the reliability of the power supply.

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Section: Christiano-fitzgerald Random Walk Filtermentioning

confidence: 99%

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

Stefenon

Seman

Neto

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…These trends are based on frequency of these topics over time. Afterward, we generate the trend lines using the Hodrick Prescott filter [51].…”

Section: Topic Visualizationmentioning

confidence: 99%

Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination

et al. 2022

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The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. The COVID-19 pandemic had a major outbreak in January 2020 and was followed by different preventive measures, lockdown, and finally by the process of vaccination. To date, more comprehensive analysis of news related to COVID-19 pandemic are missing, especially those which explain what aspects of this pandemic are being reported by newspapers inserted in different economies and belonging to different political alignments. Since LDA is often less coherent when there are news articles published across the world about an event and you look answers for specific queries. It is because of having semantically different content. To address this challenge, we performed pooling of news articles based on information retrieval using TF-IDF score in a data processing step and topic modeling using LDA with combination of 1 to 6 ngrams. We used VADER sentiment analyzer to analyze the differences in sentiments in news articles reported across different geographical places. The novelty of this study is to look at how COVID-19 pandemic was reported by the media, providing a comparison among countries in different political and economic contexts. Our findings suggest that the news reporting by newspapers with different political alignment support the reported content. Also, economic issues reported by newspapers depend on economy of the place where a newspaper resides.INDEX TERMS COVID-19, economic issues, political issues, sentiment analysis, topic modeling.

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Cyclical and seasonal patterns of India’s GDP growth rate through the eyes of Hamilton and Hodrick Prescott Filter models

Cited by 2 publications

References 8 publications

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination

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