-4d90550d17f4602e089-1000 20220528011524168 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2022 11 7 Assistant Professor, Department of Computer Science and Engineering, College of Taibah University, Saudi Arabia. Dr. Ibtehal Nafea Unlike the Pool of Bethesda, Makkah is a moment of sacrifice, a space of unified worship in the lives of Muslim worshipers. The Makkah experience symbolizes the “farewell pilgrimage” of the Prophet Muhammad through the Arabian desert in 632 A.D. (Aljazeera, 2021). The annual Hajj expedition to the Saudi holy city is the fifth of the five Muslim Pillars of Islam. Hajj occurs during Dhu’al-Hijjah, the last month of the year according to the Islamic calendar. Millions of people from across the world assemble to pray in the direction of Ka’bah, the holiest Islamic shrine constructed by Abraham and Ishmael. The 2012 Hajj attracted more than 3 million pilgrims journeyed to Hajj. However, the 2019 SARS-CoV-2 outbreak has since forced decision-makers for the Kingdom of Saudi Arabia to take further preventive measures in the interests of public health that affect the outcomes of the traditional prayer and worship. Saudi Arabian government officials significantly downsized capacity and instituted protocols for attendance to the 2020 and 2021 Hajj events due to the Covid-19 pandemic. In addition to Muslim pilgrimages, several nations have implemented mHealth apps designed for Covid-19 contact tracing, quarantine enforcement, symptom monitoring, and information provision for mass crowding events. Independently, the apps do not provide a holistic approach to Covid-19 transmission control in mass gatherings. A more universal, less intrusive technological approaches to managing and protecting the Hajj pilgrimage populations using credible, real-time data is needful. This study proposes an information-generating SMART app based on the success of prior apps, the implementation of a Smart Hajj application, which allows authorities to track Hajj pilgrim movement, and collect data as a part of efforts to prevent Covid-19 from disrupting centuries-old tradition Muslim pilgrimages to worship in sacred places. 06 30 2022 10 16 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F9864.0611722 https://www.ijitee.org/portfolio-item/f98640511622/ Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai (Chhattisgarh), India. Ritu Sharma Raginee Sharma Department of Electrical Engineering, Rungta College of Engineering and Technology, Bhilai (Chhattisgarh), India. Dr. Achala Jain Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai (Chhattisgarh), India. Economic Load Dispatch (ELD) is an important optimization problem in the energy system. Economic Dispatch (ED) is a short-term determination of the optimal performance of a set of power generation assets to meet the system load at the lowest possible cost, taking into account transmission and operational constraints. Economic dispatch problems are solved by dedicated computer software that needs to take into account the operational and system limitations of available resources and corresponding transmission functions. Economic load balancing provides optimal cost savings for power plant operations where methodologies can be applied in a variety of ways, from traditional to advanced. To achieve this, traditional methods have been used from the last few years to the 90's, but in the last few decades AI methods have met their needs and validated satisfactory results. Some advanced hybrid techniques used are the Modified Salp Swarm Optimization Algorithm (MSSA) with Artificial Intelligent (AI) technique aided with Particle Swarm Optimization (PSO) technique, Improved Moth-Fly Optimization Algorithm (IMFOA) with the Recurrent Neural Network (RNN), the Improved Fruit Fly Optimization Algorithm (IFOA) with Artificial Neural Network (ANN) system and Lightning Search Algorithm (LSA) with Genetic Algorithm (GA) which will encourage the researches for providing better solution for economic load dispatch problem is presented in this paper. 06 30 2022 17 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9969.0611722 https://www.ijitee.org/portfolio-item/g99690611722/