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Shared Subscribe Hyper Simulation Optimization (SUBHSO) Algorithm for Clustering Big Data – Using Big Databases of Iran Electricity Market Cover

Shared Subscribe Hyper Simulation Optimization (SUBHSO) Algorithm for Clustering Big Data – Using Big Databases of Iran Electricity Market

Applied Computer Systems
Volume 24 (2019): Issue 1 (May 2019)
By: Mesbaholdin Salami,  Farzad Movahedi Sobhani and  Mohammad Sadegh Ghazizadeh  
Open Access
|Jun 2019

Authors

Mesbaholdin Salami

Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran

Farzad Movahedi Sobhani

farzadmovahedi@gmail.com

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran

Mohammad Sadegh Ghazizadeh

Department of Electrical Engineering, Abbaspour School of Engineering, Shahid Beheshti University, Tehran
DOI: https://doi.org/10.2478/acss-2019-0007 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 49 - 60
Published on: Jun 20, 2019
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Clustering,
electricity demand forecasting,
Monte Carlo simulation,
particle swarm optimization,
subspace search method
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2019 Mesbaholdin Salami, Farzad Movahedi Sobhani, Mohammad Sadegh Ghazizadeh, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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