Selection of Characteristics by Hybrid Method: RFE, Ridge, Lasso, and Bayesian for the Power Forecast for a Photovoltaic System

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Jose Cruz ◽  
Wilson Mamani ◽  
Christian Romero ◽  
Ferdinand Pineda
Keyword(s):  
Hybrid Method ◽  
Photovoltaic System ◽  
Selection Of

scholarly journals The Sun, Energetic option for Universidad Tecnológica de Salamanca

2021 ◽  
pp. 1-7
Author(s):  
Luis Delgado-Ponce ◽  
Oscar Joel Vargas-Hernández ◽  
Johnny López-Flores ◽  
Teresa Geraldine Cárdenas-Arellano
Keyword(s):  
Photovoltaic Effect ◽  
Electrical Energy ◽  
Clean Energy ◽  
Photovoltaic System ◽  
The Sun ◽  
Legal Requirements ◽  
Technical Aspects ◽  
Selection Of

For the Universidad Tecnológica de Salamanca it has been necessary and very important its building become sustainable, therefore, the sun is an energy option to achieve it, this study shows the use of clean energy to produce electrical energy, the objective is to use the photovoltaic effect using technology and regional suppliers, so that when it is a sunny day, electricity is generated and when this resource is not available, the service of the electricity company, CFE in Mexico provides it. It begins by locating within the globe the point where the SFVI (interconnected photovoltaic system) will be installed, in this case latitude 20.577136 and longitude -101.232293, there are two requirements prior to meeting, which has to do with the selection of the location, the first It refers to technical aspects, such as solar resources, type of terrain and the shadows that could be generated in the place, according to the fulfillment of legal requirements and necessary permits for the selected place. The criteria used in the Interconnected photovoltaic system are shown, to achieve sustainability for Universidad Tecnológica de Salamanca.

scholarly journals Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection

2020 ◽  
Vol 12 (10) ◽  
pp. 4278 ◽  
Author(s):  
Pratibha Rani ◽  
Arunodaya Raj Mishra ◽  
Abbas Mardani ◽  
Fausto Cavallaro ◽  
Dalia Štreimikienė ◽  
...  
Keyword(s):  
Solar Energy ◽  
Fuzzy Sets ◽  
Real Life ◽  
Computational Procedure ◽  
Energy System ◽  
Solar Panel ◽  
Photovoltaic System ◽  
Preference Order ◽  
Pythagorean Fuzzy Sets ◽  
Selection Of

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment.

scholarly journals Hybrid method for selection of the optimal process of leachate treatment in waste treatment and valorization plants or landfills

2014 ◽  
Vol 17 (4) ◽  
pp. 873-885 ◽  
Author(s):  
Manuel Martin-Utrillas ◽  
Manuel Reyes-Medina ◽  
Jorge Curiel-Esparza ◽  
Julian Canto-Perello
Keyword(s):  
Hybrid Method ◽  
Waste Treatment ◽  
Optimal Process ◽  
Leachate Treatment ◽  
Selection Of

scholarly journals APPLICATION OF THE AHP-TOPSIS-2N HYBRID METHOD FOR SELECTION OF AN ATTACK HELICOPTER TO BE ACQUIRED BY THE BRAZILIAN NAVY

2020 ◽  
Author(s):  
Igor Pinheiro de Araújo Costa ◽  
◽  
Marcos Alexandre Pinto de Castro Junior ◽  
SÉRGIO MITIHIRO DO NASCIMENTO MAÊDA ◽  
Luiz Paulo Fávero ◽  
...  
Keyword(s):  
Hybrid Method ◽  
Selection Of
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