About Journal
Journal of Smart Energy and Sustainability (SES) is an international double blind peer reviewed quarterly publication which publish high quality papers on all aspects of Energy and Sustainability. SES is an open access publication, The following manuscript format can be published in the journal: Original article, short communication (brief report or brief communication), review article, systematic review and meta-analysis, Letter to editor, commentary and editorial.

Financial Policies
Article Processing Charges
As Kavoshec Group has supported all of the publishing costs of Journal of Smart Energy and Sustainability (SES), article processing charge and any other publication fees in the journal are free for authors.

Subscription Fee
Journal of Smart Energy and Sustainability (SES) has published as an open access electronic journal, so there is no subscription fee for audiences. 


Open Access Policies
SES is licensed under the terms of the Creative Commons Attribution License 4.0 International (CC-BY 4.0). Licensees may copy, distribute, display and make derivative works only if they cite the original published SES article.



Publication Policies
SES is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws.

1. A Robust and Optimal Intelligent Parking IoT Management in the Presence of Uncertainties Based on Interval Particle Swarm Optimization Algorithm

Guobin Yan; Shunlei Li

Volume 1, Issue 1 , February 2022, Pages 1-14

Abstract
  Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of ...  Read More

2. Optimal Gas Turbine Size Selection in a Hybrid SOFC-Micro Gas Turbine System Based on Meta-heuristics

Caiyuan Xiao; Guiju Zhang

Volume 1, Issue 1 , February 2022, Pages 15-29

Abstract
  This paper presents an analysis of improving the efficiency of a hybrid solid oxide fuel cell (SOFC) and a micro gas turbine (mGT) system. The main reason for using SOFC technology is the generation of its less harmful products with higher performance compared to the traditional power generation systems. ...  Read More

3. Energy Demand Forecasting in Taiwan by Improved Manta Ray Foraging Optimizer

Haoran Fu; Huahui Li; T. Ramayah

Volume 1, Issue 1 , February 2022, Pages 30-45

Abstract
  A new methodology is suggested in this study for providing an optimum energy demand forecasting for the future projections. The paper presents an improved version of manta ray foraging optimizer (iMRFO) for giving an optimum and suitable forecasting model. The model designing has been done on Taiwan ...  Read More

4. An Optimized Iron Ore Price Forecasting Using Convolutional Neural Network Optimized by Modified Search and Rescue Optimization Algorithm

Lin Yongxing; Si Yanru

Volume 1, Issue 1 , February 2022, Pages 40-60

Abstract
  One of the most widely used metals in the world is the Iron. The world cost of iron ore is defineded by its supply and demand. Numerous variabes such as steel, scrap, oil, gold, interest rate, inflation rate, dollar value, and stock value affect the world price of iron ore. Therefore, for economic investment ...  Read More

5. Design and Assessment of Direct Torque Controller for DFIG Based Wind Turbine Using Space Vector Modulation and Matrix Convertor Methods

Huo Dongdong

Volume 1, Issue 1 , February 2022, Pages 61-72

Abstract
  In this paper, a control approach for direct control of the wind turbine torque based on a doubly-fed induction generator using space vector modulation and matrix convertor control method is presented and also evaluated. The goal of many conventional torque control methods is creating a sinusoidal current ...  Read More

6. Implementation of Fuel Cell for Mitigation of Electric Vehicle ambiguity According to Response of Demand, PV and Wind Power

Giorgos Jimenez

Volume 1, Issue 1 , February 2022, Pages 73-104

Abstract
  Environment and financial matters provide careful attention to electric vehicles (EV) and economical power resource benefits. There is an answer suggestion for increasing the effect of this benefit that is using the Potential of electric vehicles. The capacity for electric vehicles needs getting ready ...  Read More

1. An Optimized Iron Ore Price Forecasting Using Convolutional Neural Network Optimized by Modified Search and Rescue Optimization Algorithm

Lin Yongxing; Si Yanru

Volume 1, Issue 1 , February 2022, , Pages 40-60

Abstract
  One of the most widely used metals in the world is the Iron. The world cost of iron ore is defineded by its supply and demand. Numerous variabes such as steel, scrap, oil, gold, interest rate, inflation rate, dollar value, and stock value affect the world price of iron ore. Therefore, for economic investment ...  Read More

2. A Robust and Optimal Intelligent Parking IoT Management in the Presence of Uncertainties Based on Interval Particle Swarm Optimization Algorithm

Guobin Yan; Shunlei Li

Volume 1, Issue 1 , February 2022, , Pages 1-14

Abstract
  Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of ...  Read More

3. Implementation of Fuel Cell for Mitigation of Electric Vehicle ambiguity According to Response of Demand, PV and Wind Power

Giorgos Jimenez

Volume 1, Issue 1 , February 2022, , Pages 73-104

Abstract
  Environment and financial matters provide careful attention to electric vehicles (EV) and economical power resource benefits. There is an answer suggestion for increasing the effect of this benefit that is using the Potential of electric vehicles. The capacity for electric vehicles needs getting ready ...  Read More

4. Optimal Gas Turbine Size Selection in a Hybrid SOFC-Micro Gas Turbine System Based on Meta-heuristics

Caiyuan Xiao; Guiju Zhang

Volume 1, Issue 1 , February 2022, , Pages 15-29

Abstract
  This paper presents an analysis of improving the efficiency of a hybrid solid oxide fuel cell (SOFC) and a micro gas turbine (mGT) system. The main reason for using SOFC technology is the generation of its less harmful products with higher performance compared to the traditional power generation systems. ...  Read More

5. Energy Demand Forecasting in Taiwan by Improved Manta Ray Foraging Optimizer

Haoran Fu; Huahui Li; T. Ramayah

Volume 1, Issue 1 , February 2022, , Pages 30-45

Abstract
  A new methodology is suggested in this study for providing an optimum energy demand forecasting for the future projections. The paper presents an improved version of manta ray foraging optimizer (iMRFO) for giving an optimum and suitable forecasting model. The model designing has been done on Taiwan ...  Read More

Publisher:
Kavoshec Group

Editor-in-Chief:
  Full Professor Mehrdad Tarafdar Hagh

Director-in-Charge:
  Professor Noradin Ghadimi

Managing Editor:
  Dr Majid Khayatnezhad


Frequency: Quarterly

Online ISSN: 2821-0085

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