STLF using Neural Networks and Fuzzy for anomalous load scenarios - A case study for Hajj

Ahmmed, Suman; Khan, Mohammad Asif; Hasan, Md. Khairul; Saber, Ahmed Yousuf; Huda, Mohammad Nurul; Rahman, Mohammad Zahidur

doi:10.1109/icelce.2010.5700794

Cited by 3 publications

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“…Technology based classification for the papers surveyed the coming three years[308]. Moreover, Ahmed et al used Neural Networks (NN) and Fuzzy Inference Rules (FIR) to estimate the Short Term Load Forecasting (STLF) of power during Hajj[305]. STLF is very important for the planning and maintenance optimization of power systems.…”

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confidence: 99%

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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Hajj and Umrah are Muslims' religious pilgrimages to Makkah, Saudi Arabia. Hajj is considered the largest annual gathering in the world. In Islam, each and every able-bodied adult is obligated to go for Hajj at least once in his/her lifetime. Hajj takes place between the 8 th and the 13 th day of Dhul Hijjah, which is the last month of the Islamic year while Umrah, the minor pilgrimage, could be done any time of the year. In Hajj, pilgrims, also known as Hajjis, travel around 15 km and pilgrims have the choice to do it by foot, bus or by train. The Hajj journey starts from Mina, which is considered the largest tent city in the world because it hosts more than 10,000 fire resistant tents, and includes various religious rituals. Around 3 million Muslims from more than 183 countries make Hajj every year and the Kingdom of Saudi Arabia is working on increasing this number. Since 1989, researchers in various ICT domains have tried leveraging their expertise in solving challenges and issues related to Hajj and Umrah. Although several papers have surveyed efforts using technology in Hajj and Umrah research, none of them was comprehensive. In this paper, I classified research efforts that used information and communication technologies for solving Hajj and Umrah challenges over the past 33 years based on their applications in 10 categories. I also identified more than 30 technologies used by researchers all over the world to address Hajj and Umrah issues and group research efforts based on these technologies for ease of access. Furthermore, open challenges were discussed and new technologies that could be used to address these challenges were proposed.

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Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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Heat Load Forecasting: Comparison Between Neuro-Fuzzy and Neural Network Approaches, a Real World Case Study

Kováč

Halenár

Michalconok

et al. 2021

Artificial Intelligence in Intelligent Systems

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Enhancing Hajj and Umrah Rituals and Crowd Management Through AI Technologies: A Comprehensive Survey of Applications and Future Directions

Shah

2024

IEEE Access

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STLF using Neural Networks and Fuzzy for anomalous load scenarios - A case study for Hajj

Cited by 3 publications

References 9 publications

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Heat Load Forecasting: Comparison Between Neuro-Fuzzy and Neural Network Approaches, a Real World Case Study

Enhancing Hajj and Umrah Rituals and Crowd Management Through AI Technologies: A Comprehensive Survey of Applications and Future Directions

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