Noradin Ghadimi

ORCID: 0000-0003-1864-7446
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About
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Research Areas
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Energy Load and Power Forecasting
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Islanding Detection in Power Systems
  • Fuel Cells and Related Materials
  • Advanced Battery Technologies Research
  • Power Systems Fault Detection
  • Electric Vehicles and Infrastructure
  • Integrated Energy Systems Optimization
  • Power System Reliability and Maintenance
  • Smart Grid Security and Resilience
  • Hybrid Renewable Energy Systems
  • Power System Optimization and Stability
  • Image and Signal Denoising Methods
  • Electrocatalysts for Energy Conversion
  • Machine Learning and ELM
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Advanced Control Systems Optimization
  • Antenna Design and Analysis
  • Smart Grid and Power Systems
  • Frequency Control in Power Systems
  • Power Systems and Renewable Energy
  • Solar Radiation and Photovoltaics

Islamic Azad University Ardabil
2014-2024

Islamic Azad University, Tehran
2013-2023

Ankara Yıldırım Beyazıt University
2020-2023

Iraqi University
2023

University of Mohaghegh Ardabili
2019

Islamic Azad University of Ahar
2011

In recent years, the management and operation of micro-grids are considered by many advanced societies with regard to development scattered energy resources. The main goals that paid attention in micro-grid cost pollution rate, which aggregation such contradictory an optimization problem can provide appropriate response micro-grid. this paper, MOPSO method has been used for optimal distribution resources proposed On other hand, was analyzed NSGA-II algorithm demonstrate efficiency method.

10.1016/j.egyr.2017.10.002 article EN cc-by-nc-nd Energy Reports 2018-03-13

In this paper, a new feature selection and forecast engine is presented for day ahead prediction of electricity prices, which are so valuable both producers consumers in the competitive electric power markets. market, energy prices key infor mation market participants. However, price signal usually has complex behavior due to its nonlinearity, non-stationary, time variance. Also, an appropriate crucial accurate forecasting. two-step approach that identifies set candidate features based on...

10.3233/jifs-152073 article EN Journal of Intelligent & Fuzzy Systems 2017-03-07

According to new findings, the use of clean energy sources such as solar supply (both electricity and heat) human societies is essential. On other hand, choosing appropriate technology convert into useful in form individual or combined systems a fundamental issue. Individual have inherently low performance. However, their hybrid with generation devices key solution shows high The present work provides performance system composed parabolic dish collector (PDC), Stirling engine (SE)...

10.1002/er.6891 article EN International Journal of Energy Research 2021-06-02

Abstract Prediction of solar power involves the knowledge sun , atmosphere and other parameters, scattering processes specifications a energy plant that employs sun's to generate . This prediction result is essential for an efficient use plant, management electricity grid, trading. However, because nonlinear nonstationary behavior time series, forecasting model needed predict it. Accordingly, in this paper, we propose new forecast approach based on combination neural network with...

10.1111/coin.12145 article EN Computational Intelligence 2017-10-03

Using blockchain technology as one of the new methods to enhance cyber and physical security power systems has grown in importance over past few years. Blockchain can also be used improve social welfare provide sustainable energy for consumers. In this article, effect distributed generation (DG) resources on transmission lines consequently fixing its conjunction reaching optimal goals policies issue exploit these is investigated. order evaluate system level, a false data injection attack...

10.3390/su13010090 article EN Sustainability 2020-12-23

This essay performs a reliability constraint stochastic model for unit commitment problem by considering generation and transmission constraints with high wind penetration volatility of load demands. query is expressed as MILP that based on the linear direct current model. The proposed approach models uncertainty generators output power, demand fluctuations elements outage system like lines. In this paper, interdependence between random variables speed recognized. To establish probability...

10.1049/iet-rpg.2019.0485 article EN IET Renewable Power Generation 2019-07-26
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