Review on applications of particle swarm optimization in solar energy systems

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Remote Sensing SPRINGER Volume:
Keywords : Review on applications of particle swarm optimization in solar    
Abstract:
Solar energy is one of the most important factors used in the development of the countries. Since it is a renewable energy source, it reduces the demand on the non-renewable energy sources such as fossil fuels, oil, natural gas, nuclear,
   
     
 
       

Author Related Publications

  • Mohamed El Sayed Ahmed Muhamed, "A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation", Elsevier, 2020 More
  • Mohamed El Sayed Ahmed Muhamed, "A novel hybrid gradient-based optimizer and grey wolf optimizer feature selection method for human activity recognition using smartphone sensors", MDPI, 2021 More
  • Mohamed El Sayed Ahmed Muhamed, "Efficient schemes for playout latency reduction in P2P-VOD systems", Springer, 2018 More
  • Mohamed El Sayed Ahmed Muhamed, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013 More
  • Mohamed El Sayed Ahmed Muhamed, "Open cluster membership probability based on K-means clustering algorithm", Springer, 2016 More

Department Related Publications

  • Hany Samih Bayoumi Ibrahim, "Passive and active controllers for suppressing the torsional vibration of multiple-degree-of-freedom system", Sage, 2014 More
  • Ahmed Mohamed Khedr Souliman, "SEP-CS: Effective Routing Protocol for Heterogeneous Wireless Sensor Networks", Ad Hoc & Sensor Wireless Networks, 2012 More
  • Ahmed Mohamed Khedr Souliman, "Minimum connected cover of a query region in heterogeneous wireless sensor networks", Information Sciences, 2013 More
  • Ahmed Mohamed Khedr Souliman, "IBLEACH: intra-balanced LEACH protocol for wireless sensor networks", Wireless Netw, 2014 More
  • Ahmed Mohamed Khedr Souliman, "AGENTS FOR INTEGRATING DISTRIBUTED DATA FOR FUNCTION COMPUTATIONS", Computing and Informatics,, 2012 More
Tweet