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Browsing Articles by Subject "Forecasting"

Browsing Articles by Subject "Forecasting"

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  • An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning 
    Raju, S. M. Taslim Uddin; Sarker, Amlan; Islam, Md. Milon; Al-Rakhami, Mabrook S.; Al-Amri, Atif M.; Mohiuddin, Tasniah; Albogamy, Fahad R. (Daffodil International University, 2022-02-25)
    This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ...
  • Comparison Study 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Nahin, Faiza Islam; Rabby, AKM Shahariar Azad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    The key to success in today's business is controlling the retails supply chain. Predicting customer demand is very essential for supply chain management. The perfect prediction has an effective impact on earning a profit., ...
  • Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle 
    Elahe, Md Fazla; Kabir, Md Alamgir; Mahmud, S. M. Hasan; Azim, Riasat (MDPI Publications, 2023-12-23)
    The rapid growth of electric vehicles (EVs) is likely to endanger the current power system. Forecasting the demand for charging stations is one of the critical issues while mitigating challenges caused by the increased ...
  • Forecasting Oil, Coal, and Natural Gas Prices in the Pre–and Post-COVID Scenarios 
    Alam, Md Shabbir; Murshed, Muntasir; Manigandan, Palanisamy; Pachiyappa, Duraisamy; Abduvaxitovna, Shamansurova Zilola (Elsevier, 2023-02-10)
    Stock market price prediction is considered a critically important issue for designing future investments and consumption plans. Besides, given the fact that the COVID-19 pandemic has adversely impacted stock markets ...
  • Forecasting the Number of Road Accidents and Casualties Using Random Forest Regression in the Context of Bangladesh 
    Biswas, Al Amin; Mia, Md. Jueal; Majumder, Anup (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Last few decades, road accident is one of the rising problems in Bangladesh. Therefore, forecasting the number of accident and its casualties is necessary for its mitigation. In this perspective, machine learning can play ...
  • Forecasting the Number of Road Accidents and Casualties Using Random Forest Regression in the Context of Bangladesh 
    Biswas, Al Amin; Mia, Md. Jueal; Majumder, Anup (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-12-30)
    Last few decades, road accident is one of the rising problems in Bangladesh. Therefore, forecasting the number of accident and its casualties is necessary for its mitigation. In this perspective, machine learning can play ...
  • Solar PV Power Forecasting Using Traditional Methods and Machine Learning Techniques 
    Alam, Ahmed Manavi; Masood, Nahid-Al-; Razee, Iqbal Asif; Zunaed, Mohammad (Scopus, 2021)
    The stability of the power sector has become uncertain due to the unpredictable characteristics of renewable energy sources such as solar photovoltaic (PV) power generation. It endangers the balance of the power system ...
  • Solving Onion Market Instability by Forecasting Onion Price Using Machine Learning Approach 
    Hasan, Md. Mehedi; Zahara, Muslima Tuz; Sykot, Md. Mahamudunnobi; Hafiz, Rubaiya; Mohd. Saifuzzaman (Scopus, 2020)
    Price is the key factor in financial activities. Unexpected fluctuation in price is the sign of market instability. Nowadays Machine learning provides enormous techniques to forecast price of products to cope up with market ...
  • Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh 
    Sakib, Sheikh Rahmatulla; Sara, Kamarun Nahar; Rasel, Md. Tahmid Hossain; Asif, Md. Masudul Islam (Daffodil International University, 2023-07)
    In Dhaka, the capital city of Bangladesh, various sources including vehicle emissions, industrial activities, brick kilns, building sites, and open rubbish burning contribute to the air pollution problem. To assess the air ...

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