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  1. 1
    A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm

    A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm by Haruna, Chiroma, Khan, Abdullah, Abubakar, Adamu, Saudi, Younes, Hamza, Mukhtar Fatihu, Shuiba, Liyana, Gital, Abdulsalam, Herawan, Tutut

    Published 2016
    “…The proposed approach is compared with established meta-heuristic algorithms. The results show that the new proposed method out performs existing algorithms by advancing OPEC petroleum consumption forecast accuracy and convergence speed. …”
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  2. 2
    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system

    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system by Mahpol, Khairil Asmani

    Published 2005
    “…Time Series method has always been used in a variety of forecasting applications. In this thesis, an approach that combines the Box-Jenkins methodology for SARIMA model and Genetic Algorithm (GA) will been introduced as a new approach in making a forecast. …”
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  3. 3
    Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow

    Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow by Osman A., Afan H.A., Allawi M.F., Jaafar O., Noureldin A., Hamzah F.M., Ahmed A.N., El-shafie A.

    Published 2023
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  4. 4
    A systematic literature review of deep learning neural network for time series air quality forecasting

    A systematic literature review of deep learning neural network for time series air quality forecasting by Zaini N., Ean L.W., Ahmed A.N., Malek M.A.

    Published 2023
    Review
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  5. 5
    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING

    CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

    Published 2017
    “…ANN based STLF models commonly use back-propagation algorithm, which generally exhibits a slow and improper convergence that affects the forecast accuracy. …”
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  6. 6
    A decision support system for improving forecast using genetic algorithm and tabu search

    A decision support system for improving forecast using genetic algorithm and tabu search by Ismail, Zuhaimy

    Published 2008
    “…The need and relevance of forecasting tools has become a much-discussed issue and this has led to the development of various new tools and methods for forecasting in the last two decades. …”
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  7. 7
    A new soft computing model for daily streamflow forecasting

    A new soft computing model for daily streamflow forecasting by Sammen S.S., Ehteram M., Abba S.I., Abdulkadir R.A., Ahmed A.N., El-Shafie A.

    Published 2023
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  8. 8
    Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm

    Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm by Delgoshaei, Aidin, Beighizadeh, Razieh, Mohd Arffin, Mohd Khairol Anuar, Leman, Zulkiflle, Ali, Ahad

    Published 2022
    “…Both internal and external features can influence a business's innovative development; thus, there must be relationships between these aspects for Innovative Development to succeed. …”
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  9. 9
    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil

    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil by Chai, Kah Chun

    Published 2021
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  10. 10
    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das

    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…In addition, a novel data preparation algorithm is also developed to prepare the solar irradiance (SI) pattern of the forecasted day for forecasting PV output power based on the online-weather-report. …”
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  11. 11
    An intelligent hybrid short-term load forecasting model for smart power grids

    An intelligent hybrid short-term load forecasting model for smart power grids by Raza, M.Q., Nadarajah, M., Hung, D.Q., Baharudin, Z.

    Published 2017
    “…In this model, a global best particle swarm optimization (GPSO) algorithm is applied as a new training technique to enhance the performance of ANN prediction. …”
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  12. 12
    Time series forecasting of energy commodity using grey wolf optimizer

    Time series forecasting of energy commodity using grey wolf optimizer by Yusof, Yuhanis, Mustaffa, Zuriani

    Published 2015
    “…The ability to model and perform decision making is an essential feature of many real-world applications including the forecasting of commodity prices.In this study, a forecasting model based on a relatively new Swarm Intelligence (SI) behaviour, namely Grey Wolf Optimizer (GWO), is developed for short term time series forecasting.The model is built upon data obtained from the West Texas Intermediate (WTI) crude oil and gasoline price.Performance of the GWO model is compared against two other models which are developed based on Evolutionary Computation (EC) algorithms, namely the Artificial Bee Colony (ABC) and Differential Evolution (DE).Results showed that the GWO model outperformed DE in both crude oil and gasoline price forecasting. …”
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  13. 13
    A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting

    A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting by Wan Abdul Razak, Intan Azmira, Zainal Abidin, Izham, Yap, Keem Siah, Sulaima, Mohamad Fani, Hassan, Elia Erwani, Gan, Chin Kim

    Published 2019
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    Technical Report
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  14. 14
    Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer

    Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer by Zuriani, Mustaffa, Yuhanis, Yusof

    Published 2015
    “…The ability to model and perform decision making is an essential feature of many real-world applications including the forecasting of commodity prices. In this study, a forecasting model based on a relatively new Swarm Intelligence (SI) behaviour, namely Grey Wolf Optimizer (GWO), is developed for short term time series forecasting. …”
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  15. 15
    Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method

    Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method by Rahim, N.F., Othman, M., Sokkalingam, R., Abdul Kadir, E.

    Published 2018
    “…Therefore, this research develops a new CPO price forecasting method using weighted subsethood-based algorithm in order to generate fuzzy rules of forecasting. …”
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  16. 16
    Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method

    Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method by Rahim, N.F., Othman, M., Sokkalingam, R., Abdul Kadir, E.

    Published 2018
    “…Therefore, this research develops a new CPO price forecasting method using weighted subsethood-based algorithm in order to generate fuzzy rules of forecasting. …”
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  17. 17
    Modeling and forecasting of injected fuel flow using neural network

    Modeling and forecasting of injected fuel flow using neural network by Z., Saad, M. K., Osman, S., Omar, Mohd Yusoff, Mashor, Prof. Dr.

    Published 2011
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  18. 18
    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model

    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model by Salleh, Roselina, Shamsuddin, Siti Mariyam

    Published 2007
    “…Accordingly, the aim of this research is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time series data. …”
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    Book Section
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  19. 19
    Mapreduce algorithm for weather dataset

    Mapreduce algorithm for weather dataset by Khalid Adam, Ismail Hammad

    Published 2017
    “…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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  20. 20
    New Approach for E-Commerce Stock Prices Prediction : Combination of Machine Learning and Technical Analysis

    New Approach for E-Commerce Stock Prices Prediction : Combination of Machine Learning and Technical Analysis by Kelvin Lee, Yong Ming, Mohamad, Jais, Pick Soon, Lee

    Published 2022
    “…This study aimed to develop a new approach for forecasting the price movements of e-commerce stocks. …”
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