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All Journal Indonesian Journal of Electrical Engineering and Computer Science Data Science Insights
Hanita Daud
Universiti Teknologi PETRONAS
Computer Science & IT Engineering

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Power System State Estimation Bad Data Detection and Identification: A Review on Issues and Alternative Formulations Nurul Fauzana Imran Gulcharan; Nursyarizal Mohd Nor; Taib Ibrahim; Hanita Daud
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i1.pp122-128

Abstract

State Estimation (SE) is the main function of power system where Energy Management System (EMS) is obliged to estimate the available states. Power system is a quasi-static system and hence changes slowly with time. Dynamic State Estimation (DSE) technique represents the time deviation nature of the system, which allows the forecasting of state vector in advance. Various techniques for DSE are available in the literature. This paper presents a review on different methodologies and developments in DSE, based on comprehensive survey of the available literature. From the survey it can be concluded that there are still areas in the developing DSE that can still be improved in terms of system computational time, redundancy and robustness of the system.
Forecasting the Southeast Asian Currencies against the British Pound Sterling Using Probability Distributions Ahmad Abubakar Suleiman; Hanita Daud; Mahmod Othman; Abdullah Husin; Aliyu Ismail Ishaq; Rajalingam Sokkalingam; Mohd. Lazim Abdullah; Iliyas Karim Khan
Data Science Insights Vol. 1 No. 1 (2023): Journal of Data Science Insights
Publisher : PT. Visi Media Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63017/jdsi.v1i1.5

Abstract

The current study aimed to identify the most suitable probability distribution function (pdf) for modeling the exchange rates of three countries. Financial data is essential to many people and to the management of a country. Volatility in financial data influences individual and the country's economic growth. This volatility in the exchange rates between the Malaysian Ringgit (MYR), Singapore Dollar (SGD), and Thailand Thai Baht (THB) against British Pound Sterling (GBP) is found to be very high which make it difficult to model and forecast. This is what has necessitated the development of an accurate and reliable approach for assessing and reducing the risks of trading in any of these currencies.
Co-Authors Abdullah Abdullah Ahmad Abubakar Suleiman Aliyu Ismail Ishaq Iliyas Karim Khan Mahmod Othman Mohd. Lazim Abdullah Nursyarizal Mohd Nor Nurul Fauzana Imran Gulcharan Rajalingam Sokkalingam Taib Ibrahim