Results 71 to 80 of about 2,029 (172)

¬MPPT pada Sistem PV Menggunakan Algoritma Firefly dan Modified P&O dengan Konverter Hybrid Cuk Terkoneksi ke Grid Satu Phasa di Bawah Kondisi Partial Shaded [PDF]

, 2016
— Photovoltaic (PV) merupakan sumber energi terbarukan yang paling banyak dijumpai di alam serta merupakn energi alternatif yang sangat pesat perkembangannya.
Bani, D. C. (Dhuhari), Pu, M. (Mar), Suryoatmojo, H. (Heri)   +2 more
core  

Integrating tunable LED‐induced plant responses with novel solar cell technologies for energy‐efficient agrivoltaic systems

PLANTS, PEOPLE, PLANET, EarlyView.
The increasing demand for sustainable food production requires innovative solutions that balance productivity, resource efficiency, and environmental impact. Vertical Farming Systems (VFSs) offer a promising approach; however, their high energy consumption remains challenging.
Alessio Dessì, Carlo Spampinato, Fabiano Sillo, Salvatore Valastro, Mauro Centritto, Cecilia Brunetti, Andrea Ghirardo, Jörg‐Peter Schnitzler, Alessandra Alberti, Gianna Reginato, Aurora Rizzo, Raffaella Balestrini   +11 more
wiley   +1 more source

Power Optimization of Partially Shaded PV System Using Interleaved Boost Converter-Based Fuzzy Logic Method

Eng
Partial shading condition (PSC) for photovoltaic (PV) arrays complicates the operation of PV systems at peak power due to the existence of multiple peak points on the power–voltage (P–V) characteristic curve.
Ali Abedaljabar Al-Samawi, Abbas Swayeh Atiyah, Aws H. Al-Jrew   +2 more
doaj   +1 more source

A Deep Reinforcement Learning-Based MPPT Control for PV Systems under Partial Shading Condition

Sensors, 2020
On the issues of global environment protection, the renewable energy systems have been widely considered. The photovoltaic (PV) system converts solar power into electricity and significantly reduces the consumption of fossil fuels from environment ...
Bao Chau Phan, Ying-Chih Lai, Chin E. Lin   +2 more
doaj   +1 more source

Environmentally induced stress affects fitness of bold and shy alike: A long‐term study of personality and feather corticosterone in Arctic‐breeding kittiwakes

Journal of Animal Ecology, EarlyView.
Quantifying how individuals differ as their environment changes around them is crucial to predict population responses to climate change. By incorporating personality, physiology and life‐history the authors show that while environmental change is likely to impact the whole population equally, when individuals are most impacted will vary across the ...
Frederick C. Mckendrick, Samantha C. Patrick, Sébastien Descamps, Alexis P. Will, Kathryn E. Arnold, Stephanie M. Harris, Alexander S. Kitaysky   +6 more
wiley   +1 more source

Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Journal of Modern Power Systems and Clean Energy, 2020
In the last decade, artificial intelligence (AI) techniques have been extensively used for maximum power point tracking (MPPT) in the solar power system.
Kah Yung Yap, Charles R. Sarimuthu, Joanne Mun-Yee Lim   +2 more
doaj   +1 more source

Evaluating and Advancing the Use of Shore‐Based Observers for Scientific Sampling and Catch Verification in High‐Volume Fisheries

Fisheries Management and Ecology, EarlyView.
ABSTRACT Shore‐based observers are increasingly being used in place of at‐sea observers to monitor and sample commercial fisheries catch. However, few evaluations assess whether these programs meet their stated goals or how to optimize them, and industry data are rarely tested for accuracy despite serving as the foundation for catch accounting. Using a
Christian Gredzens, Andy Kingham, Jason E. Jannot   +2 more
wiley   +1 more source

Maximum power point tracking of partially shading PV system using cuckoo search algorithm [PDF]

, 2019
This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC).
Aboelsaud, Raef, Ibrahim, Ahmed, Obukhov, Sergey   +2 more
core   +3 more sources

Canalized to heat, plastic to cold: adaptive coordination of leaf and seed strategies in populations spanning an elevational gradient

New Phytologist, EarlyView.
Summary In tropical mountains, surviving temperature extremes demands finely tuned strategies. We investigated how populations of the bromeliad Pitcairnia flammea across a 2200 m elevational gradient balance genetic canalization and plasticity, and whether thermal strategies are coordinated between seeds and leaves.
Cleber J. N. Chaves, Danilo U. Tavares, Isabella V. Lemos‐Silva, João P. S. P. Bento, Henrique Vilela‐Bianchini, Paulo Aecyo, Tami C. Cacossi, Marília M. Tavares, Gabriel P. Sabino, Vitor de A. Kamimura, Wagner L. dos Santos, Lucas N. Gonçalves, Karina T. Silva, Juliana L. S. Mayer, Rafael V. Ribeiro, Diego Escobar‐Escobar, Kenneth J. Feeley, Clarisse Palma‐Silva   +17 more
wiley   +1 more source

Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids [PDF]

, 2020
Photovoltaic systems (PV) are having an increased importance in modern smart grids systems. Usually, in order to maximize the energy output of the PV arrays a maximum power point tracking (MPPT) algorithm is used.
Avila, Luis Omar, Carlucho, Ignacio, de Paula, Mariano, Trimboli, Maximiliano Daniel   +3 more
core   +1 more source