Metaheuristics-based maximum power point tracking for PV systems: a review [PDF]
, 2023 Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods.
Abidin, Ahmad Farid Bin +3 more
core +2 more sources
IEEE Access, 2023 Sleep habits are strongly related to health behaviors, with sleep quality serving as a major health indicator. Current approaches for evaluating sleep quality, namely polysomnography and questionnaires, are often time-consuming, costly, or invasive. Thus,
Rana Alabdan +5 more
doaj +1 more source
Molecular characterization of Trichomonas gallinae isolates recovered from the Canadian Maritime provinces’ wild avifauna reveals the presence of the genotype responsible for the European finch trichomonosis epidemic and additional strains [PDF]
, 2015 Finch trichomonosis, caused by Trichomonas gallinae, emerged in the Canadian Maritime provinces in 2007 and has since caused ongoing mortality in regional purple finch (Carpodacus purpureus) and American goldfinch (Carduelis tristis) populations ...
BECKI LAWSON +10 more
core +2 more sources
Parameter Estimation of Modified Double-Diode and Triple-Diode Photovoltaic Models Based on Wild Horse Optimizer [PDF]
, 2021 The increase in industrial and commercial applications of photovoltaic systems (PV) has a significant impact on the increase in interest in studying the improvement of the efficiency of these systems.
Jurado-Melguizo, Francisco +3 more
core +1 more source
Parameter Estimation of Static/Dynamic Photovoltaic Models Using a Developed Version of Eagle Strategy Gradient-Based Optimizer [PDF]
, 2021 The global trend towards renewable energy sources, especially solar energy, has had a significant impact on the development of scientific research to manufacture high-performance solar cells.
Eltamaly, Ali M. +4 more
core +1 more source
Hierarchy-based Image Embeddings for Semantic Image Retrieval
, 2019 Deep neural networks trained for classification have been found to learn powerful image representations, which are also often used for other tasks such as comparing images w.r.t. their visual similarity. However, visual similarity does not imply semantic
Barz, Björn, Denzler, Joachim
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Water, 2023 The reservoir flood control operation problem has the characteristics of multiconstraint, high-dimension, nonlinearity, and being difficult to solve. In order to better solve this problem, this paper proposes an improved bald eagle search algorithm (CABES) coupled with ε-constraint method (ε-CABES).
Wenchuan Wang +6 more
openaire +2 more sources
Robust Parameter Identification Strategy for Lead Acid Battery Model
Batteries, 2022 The most popular approach for smoothing renewable power generation fluctuations is to use a battery energy storage system. The lead-acid battery is one of the most used types, due to several advantages, such as its low cost. However, the precision of the
Hegazy Rezk +5 more
doaj +1 more source
Optimal hybrid photovoltaic distributed generation and distribution static synchronous compensators planning to minimize active power losses using adaptive acceleration coefficients particle swarm optimization algorithms [PDF]
, 2023 The paper aims to identify the optimum size and location of photovoltaic distributed generation systems and distribution static synchronous compensators (DSTATCOMs) systems to minimize active power losses in the distribution network and enhance the ...
Benidir, M. +4 more
core +2 more sources
Alexandria Engineering Journal, 2023 In the digital era, information security becomes a challenging process that can be mitigated by the utilization of cryptography and steganography techniques.
Adel A. Bahaddad +2 more
doaj +1 more source