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All Journal Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics
Tajbia Karim
Bangladesh University of Professionals (BUP)
Computer Science & IT Electrical & Electronics Engineering

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Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model Nahid Ferdous Aurna; Md. Tanjil Mostafa Rubel; Tanveer Ahmed Siddiqui; Tajbia Karim; Sabrina Saika; Md. Murshedul Arifeen; Tasmima Noushiba Mahbub; S. M. Salim Reza; Habibul Kabir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 3: June 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i3.15303

Abstract

With the increasing demand of energy, the energy production is not that much sufficient and that’s why it has become an important issue to make accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. Objective of our paper is to render representations of a suitable time series forecasting model using autoregressive integrated moving average (ARIMA) and Holt Winters model for the energy consumption of Ohio/Kentucky and also predict the accuracy considering different periods (daily, weekly, monthly). We apply these two models and observe that Holt Winters model outperforms ARIMA model in each (daily, weekly and monthly observations) of the cases. We also make a comparison among few other existing analyses of time series forecasting and find out that the mean absolute percentage error (MASE) of Holt Winters model is least considering the monthly data.
Spell corrector for Bangla language using Norvig’s algorithm and Jaro-Winkler distance Istiak Ahamed; Maliha Jahan; Zarin Tasnim; Tajbia Karim; S. M. Salim Reza; Dilshad Ara Hossain
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.2410

Abstract

In the online world, especially in the social media platform most of us write without much regard to correct spelling and grammar. The spelling mistakes are much larger in proportion when it comes to Bangla language. In our paper, we presented a method for error detection and correction in Bangla words' spellings. Our system could detect a misspelled Bangla word and provide two following services-suggesting correct spellings for the word and correcting the word. We had used Norvig's algorithm for the purpose but instead of using probabilities of the words to prepare the suggestions and corrections, we had used Jaro-Winkler distance. The previous works done in this field for Bangla language are either very slow or offers less accuracy. Our system successfully achieved a 97% accuracy when evaluated with 1000 Bangla words.
Co-Authors Dilshad Ara Hossain Habibul Kabir Istiak Ahamed Maliha Jahan Md. Murshedul Arifeen Md. Tanjil Mostafa Rubel Nahid Ferdous Aurna S. M. Salim Reza S. M. Salim Reza Sabrina Saika Tanveer Ahmed Siddiqui Tasmima Noushiba Mahbub Zarin Tasnim