Results 81 to 90 of about 52,378 (250)
Energy Science &Engineering, EarlyView.Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Evaluating Loans Using a Combination of Data Envelopment and Neuro-Fuzzy Systems [PDF]
Journal of Systemics, Cybernetics and Informatics, 2015 A business organization's objective is to make better decisions at all levels of the firm to improve performance. Typically organizations are multi-faceted and complex systems that use uncertain information. Therefore, making quality decisions to improve
Rashmi Malhotra, D.K. Malhotra
doaj
Approximation properties of the neuro-fuzzy minimum function [PDF]
The integration of fuzzy logic systems and neural networks in data driven nonlinear modeling applications has generally been limited to functions based upon the multiplicative fuzzy implication rule for theoretical and computational reasons.
Gottschling, Andreas, Kreuter, Christof
core
Energy Science &Engineering, EarlyView.An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
Takagi-Sugeno Neuro-Fuzzy Modeling of a Multivariable Nonlinear Antenna System
The Journal of Engineering Research, 2005 This article investigates the use of a clustered based neuro-fuzzy system to nonlinear dynamic system modeling. It is focused on the modeling via Takagi-Sugeno (T-S) modeling procedure and the employment of fuzzy clustering to generate suitable initial ...
E. A. Al-Gallaf
doaj +1 more source
Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence [PDF]
, 2002 The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system.
C, S Kumar +3 more
core
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
FAULT DIAGNOSIS OF POWER TRANSFORMER USING NEURO-FUZZY MODEL
Electrica, 2008 In this study, we have presented Neuro-Fuzzy model for fault diagnosis of power transformer based on dissolved gas analysis (DGA). DGA is a very efficient tool for monitoring transformers in-service behavior to avoid catastrophic failures, costly outages
Abdurrahim Akgundogdu +3 more
doaj +2 more sources
Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification. [PDF]
Comput Intell Neurosci, 2022 Hilal AM +10 more
europepmc +1 more source