Results 271 to 280 of about 1,263,282 (314)

Modified LMS Control for a Grid Interactive PV–Fuel Cell–Electrolyzer Hybrid System With Power Dispatch to the Grid

IEEE transactions on industry applications, 2022
The power flow from a grid-connected photovoltaic (PV) system is highly variable and creates complexities in the power scheduling for the utility. In this article, a grid-connected PV–fuel cell–electrolyzer hybrid system with a fixed power dispatch to ...
S. Kumar, N. Mukundan C. M., J. P.
semanticscholar   +1 more source

Extended fuzzy c-means and genetic algorithms to optimize power flow management in hybrid electric vehicles

Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003., 2003
Most of the features of the future hybrid electric vehicles are enabled by a new energy flow management unit designed to split the instantaneous power demand between the internal combustion engine and the electric motor, ensuring both an efficient power supply and a reduced emission.
IPPOLITO, Lucio, LOIA, Vincenzo, SIANO, PIERLUIGI   +2 more
openaire   +2 more sources

A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction

Scientific Reports
Power demand estimation in Tetouan, Morocco, uses fuzzy clustering with machine learning-based time series forecasting models as the main subject of research.
Khalaf Alsalem
semanticscholar   +1 more source

A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms

Engineering Applications of Artificial Intelligence, 2013
One of the simple techniques for Data Clustering is based on Fuzzy C-means (FCM) clustering which describes the belongingness of each data to a cluster by a fuzzy membership function instead of a crisp value. However, the results of fuzzy clustering depend highly on the initial state selection and there is also a high risk for getting the best results ...
Mohammad Taherdangkoo, Mohammad Hadi Bagheri   +1 more
openaire   +1 more source

Enhancing One-Day-Ahead Probabilistic Solar Power Forecast With a Hybrid Transformer-LUBE Model and Missing Data Imputation

IEEE transactions on industry applications
Forecasting solar photovoltaic (PV) power generation has become important due to solar power's chaotic and intermittent nature. With the development of artificial intelligence (AI) techniques, particularly deep learning algorithms, has proven to be very ...
Quoc-Thang Phan, Yuan-Kang Wu, Q. Phan
semanticscholar   +1 more source

Cultural Sociology in Mexico: Meaning-Making as Hybridization, Power, and Cultural Structure

Cultural Sociology
This article analyzes how, at a very early stage, Mexican cultural sociologists explained meaning-making processes using a set of factors external to the cultural sphere and how, more recently, they have emphasized that such meaning-making processes have analytical autonomy.
openaire   +1 more source

Event-Triggered $H_\infty$ Load Frequency Control for Multiarea Power Systems Under Hybrid Cyber Attacks

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
This paper investigates the problem of event-triggered ${H_\infty }$ load frequency control (LFC) for multiarea power systems under hybrid cyber attacks, including denial-of-service (DoS) attacks and deception attacks.
Jinliang Liu, Yuanyuan Gu, Lijuan Zha, Yajuan Liu, Jie Cao   +4 more
semanticscholar   +1 more source

A Novel Steepest Descent Least Mean Square Control for Smooth Mode Transfer of a Single-Stage SPVA-BES Hybrid Microgrid

IEEE transactions on industry applications
This study introduces a single-stage, three-phase hybrid microgrid (MG) that effectively utilizes distributed energy resources (DERs), including battery energy storage (BES) and solar photovoltaic array (SPVA).
Divyank Srivastava, V. Narayanan, Bhim Singh, Arunima Verma   +3 more
semanticscholar   +1 more source

Enhanced PV Power Prediction Considering PM10 Parameter by Hybrid JAYA-ANN Model

Electric power components and systems
The demand for electrical energy is continuously increasing in these days, particularly due to advancements in the industrial sector. This surge in demand has underscored the importance of seeking alternative energy sources, with solar energy emerging as
E. Irmak, Mehmet Yeşilbudak, Oğuz Taşdemir   +2 more
semanticscholar   +1 more source

BAYESIAN STUDY OF HYBRID WEIBULLEXPONENTIAL POWER MODEL BY MEANS OF HAMILTONIAN MONTE CARLO ALGORITHM

In this paper, we derived two important properties, viz: moment and order statistics, for the Hybrid Weibull-Exponential Power actuarial reliability model. We considered Bayesian procedures for estimating the parameters of the model. We tested the performance of the estimation approach by means of simple Monte Carlo experiment, hence, found the ...
M. A. Alhassan, A. Yahaya, O. O. Ishaq, B. Abba, A. B. Muhammad   +4 more
openaire   +1 more source