Journal of Smart Systems and Stable Energy

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About Journal
Journal of Smart Systems and Stable Energy (SSSE) is an international double blind peer reviewed quarterly publication which publish high quality papers on all aspects of Energy and Sustainability. SSSE 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 Forscherpub has supported all of the publishing costs of Journal of Smart Systems and Stable Energy (SSSE), article processing charge and any other publication fees in the journal are free for authors.

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Journal of Smart Systems and Stable Energy (SSSE) has published as an open access electronic journal, so there is no subscription fee for audiences. 


Open Access Policies
SSSE 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 SSSE article.



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

 

SSSE Journal Indexed on DOAJ

Optimization of Combined Cooling, Heating, And Power System using Amended supply-demand-based optimizer

Hamid Asadi Bagal; Maryam Nasseri

Volume 1, Issue 4 , December 2022, Pages 286-302

https://doi.org/10.52293/SE.1.1.286302

Abstract
  The required cold and heat are supplied by recycling the heat lost from the stimulus in combined cooling, heating, and power (CCHP) generation system. The present study proposes a new optimal arrangement for a CCHP system for annual dynamic simulation. This study uses CCHP system to design a separated ...  Read More
Optimum Sizing of CCHP System using Modified Group Teaching Optimization Algorithm

Achla Anderson

Volume 1, Issue 4 , December 2022, Pages 303-318

https://doi.org/10.52293/SE.1.1.303318

Abstract
  A new technique is prsented in this paper for optimum design of a combined cooling heating and power (CCHP) system. The prime mover in this study is a gas turbine and this is designed for a rural area in Zhaoping County, Guangxi, China. The effectiveness of the method is assessed based on four main parameters: ...  Read More
Developing Hierarchical RBF Neural Network for Model Identification of SOFCs using a Developed Coronavirus Herd Immunity Algorithm

Antonella Pasternak; Charis Bresser

Volume 1, Issue 4 , December 2022, Pages 319-332

https://doi.org/10.52293/SE.1.1.319332

Abstract
  A new Blackbox technique has been presented in the current paper for model estimation of the solid oxide fuel cells (SOFCs) for providing better results. The proposed method is based on a Hierarchical Radial Basis Function (HRBF). The presented method is then developed by a new modified metaheuristic, ...  Read More
Improved Mayfly Algorithm for Optimal Design of Hybrid PV/Diesel Generator along with Battery: Application to Shilisha Village in Maowusu Desert, China

Scott Mizzi

Volume 1, Issue 4 , December 2022, Pages 333-348

https://doi.org/10.52293/SE.1.1.333348

Abstract
  This paper presents an optimal size selection of a hybrid renewable PV/DG/Battery system in a remote area in Maowusu Desert, China. The idea is to select optimal numbers of PV panels, DGs, and battery storage units by minimizing of the total annual cost of the hybrid system. The optimization of the problem ...  Read More
Optimal Configuration of a HRES system by Amended Rain Optimizer

Andrea Settanni; Giorgos Jimenez

Volume 1, Issue 4 , December 2022, Pages 349-363

https://doi.org/10.52293/SE.1.1.349363

Abstract
  In this paper, a new technical and economic analysis for a hybrid system of energy has been performed. The study presents a new procedure for optimal modeling of the hybrid renewable energy system (HRES). The main idea is to optimize the hybrid system configuration based on a multiple-criteria optimization, ...  Read More
Optimum Structure for a CCHP System by Amended Coyote Optimizer

Francis Abza

Volume 1, Issue 4 , December 2022, Pages 364-378

https://doi.org/10.52293/SE.1.1.364378

Abstract
  The present study proposes a new optimal configuration of a combined cooling, heating, and power (CCHP) system for annual dynamic simulation. To provide higher efficiency from the CCHP system, a new enhanced bio-inspired algorithm, namely Amended Coyote Optimizer is designed and utilized. The proposed ...  Read More
Optimal Energy Demand Forecasting for Systems by Improved Manta Ray Foraging Optimizer: A Case Study in Taiwan

Haoran Fu; Huahui Li; T. Ramayah

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

https://doi.org/10.52293/SE.1.1.3045

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
Optimal Planning of Intelligent Parking IoT Using Interval Particle Swarm Optimization Algorithm in the Presence of Fuel cell and Electrolyzer as Hydrogen Storage System

Guobin Yan; Shunlei Li

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

https://doi.org/10.52293/SE.1.1.114

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
Hybrid Modified Sparrow Search Algorithm and Sequential Quadratic Programming for Solving the Cost Minimization of a Hybrid PV/DG/BESS

Huahui Li; Haoran Fu

Volume 1, Issue 2 , April 2022, , Pages 183-195

https://doi.org/10.52293/SE.1.1.183195

Abstract
  A hybrid PV/battery/DG energy production system is configured and optimized in this study for powering a network of a remote rural of china. The target of system design is to minimize the system’s fuel costs subject to the load demanded (LD) and several limitations. Thus, the concept comprises ...  Read More
Multi-objective Optimization of a Micro-turbine and SOFC Hybrid System using Balanced Manta Ray Foraging Optimization Algorithm

Nasser Yousefi

Volume 1, Issue 3 , September 2022, , Pages 208-225

https://doi.org/10.52293/SE.1.1.208225

Abstract
  In this study, economic, environmental, and technical optimization of a hybrid Microturbine-Solid Oxide Fuel Cell (SOFC) system is performed in a full load for the distributed generated electricity. To achieve better results, a new modified metaheuristic, called Balanced Manta Ray Foraging Optimization ...  Read More
Improved Student Psychology Based Optimization Algorithm for Optimizing a Hybrid PV-Diesel-Battery system for a Remote Region located in China

Zumrat Druzhinin

Volume 1, Issue 3 , September 2022, , Pages 226-242

https://doi.org/10.52293/SE.1.1.226242

Abstract
  A new optimal hybrid solar/diesel/battery system was suggested in this paper for covering the load demand in a rural area in Taklamakan Desert located in China. The major idea is to design a new improved version of the Student Psychology Based Optimization Algorithm for minimizing the load probability ...  Read More
Journal of Smart Systems and Stable Energy

Publisher:
Forscherpub

Editor-in-Chief:
Full Professor Mehrdad Tarafdar Hagh

Director-in-Charge:
Professor Noradin Ghadimi

Managing Editor:
Dr Majid Khayatnezhad

Frequency: Quarterly

Online ISSN: 2958-0293

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