Results 71 to 80 of about 31,148 (230)

A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]

, 2012
A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
core   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source

Rainfall Prediction Using Adaptive Neuro-Fuzzy Inference System

Journal of Intelligent Systems with Applications, 2018
The rainfall prediction is of great importance in the utilization and planning of water resources. In this study, the validity of Adaptive Neuro-Fuzzy Inference System (ANFIS) in rainfall prediction is investigated. The ANFIS models are developed with different input combinations and it is observed that ANFIS models give successful results in rainfall ...
Ozlem Terzi, Onur Ozcanoglu, Tahsin Baykal   +2 more
openaire   +1 more source

The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

, 2014
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed, Abdulshahed, Ali M. Abdulshahed, Andrew P. Longstaff, Arosha Senanayake, Bezdek, Bryan, Chen, Deng, Dunn, Guillaume, Han, Han, Jain, Jang, Kar, Karahoca, Lee, Li, Liu, Mayr, Melin, Mian, Park, Postlethwaite, Ramesh, Rizal, Simon Fletcher, Soto, Soto, Tan, Velmurugan, Wang, Wei, Yan, Özkan   +35 more
core   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

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, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

A Proposal of an Adaptive Neuro-Fuzzy Inference System for Modeling Experimental Data in Manufacturing Engineering

Mathematics, 2020
In Manufacturing Engineering there is a need to be able to model the behavior of technological variables versus input parameters in order to predict their behavior in advance, so that it is possible to determine the levels of variation that lead to ...
C. J. Luis Pérez
doaj   +1 more source

A COVID-19 forecasting system using adaptive neuro-fuzzy inference

Finance Research Letters, 2021
This article proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS) to forecast the number of COVID-19 cases in the United Kingdom. With the combination of artificial neural network and fuzzy logic structure, the model is trained based on collected data.
openaire   +2 more sources

General Regression Neuro–Fuzzy Network for Identification of Nonstationary Plants [PDF]

, 2008
General Regression Neuro-Fuzzy Network, which combines the properties of conventional General Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this work. This network relates to so-called “memory-based networks”,
Bodyanskiy, Yevgeniy, Nataliya, Teslenko
core  

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, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source