Results 91 to 100 of about 60,099 (265)

Binary Nanoparticle Combinations in Acetone‐Based Working Fluids for Thermal Performance Enhancement of Evacuated Tube Solar Water Collectors

Energy Science &Engineering, EarlyView.
Illustration of the work. ABSTRACT This experimental investigation evaluates the thermal performance enhancement of evacuated tube solar water collectors through the implementation of binary nanofluid formulations using acetone as the base fluid. Three metal oxide nanoparticles, including magnesium oxide (MgO), copper oxide (CuO), and titanium dioxide (
Ali Basem, Zukhra Atamuratova, Sardor Sabirov, Otabek Mukhitdinov, Elyor Saitov, Fohagui Fodoup Cyrille Vinceslas   +5 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Monthly Precipitation Prediction Based on Attention-BiLSTM Model

Renmin Zhujiang
Precipitation is affected by various meteorological factors, leading to low prediction accuracy. To solve this problem, multiple meteorological factors affecting precipitation were considered, and the attention mechanism was used to assign different ...
CHENG Yuxiang, XIAO Liying, WANG Pinggen, LIU Xiangzhou, ZHANG Chenhui   +4 more
doaj  

Research on the Influence of Air Pollutants and Meteorological Factors on Kawasaki Disease

Aerosol and Air Quality Research
Purpose Kawasaki disease (KD), an acute systemic vasculitis of unknown etiology, has attracted widespread attention regarding the triggering role of environmental factors in its development.
Yinan Yang, Yanxia Zhang, Fangfang Zheng, Yangbin Guo, Xiaoyan Wang, Huitao Meng, Li Min, Xiaobin Hu   +7 more
doaj   +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

Sr-90 Deposition and Meteorological Factors

Papers in Meteorology and Geophysics, 1960
Sr/sup 90/ deposition dependence on rainfall, season, and geographical location was investigated by the coaxial method using the data from six stations in Japan during 1958. It was found that although Sr/sup 90/ deposition increased with rainfall, the rate of increase varied widely with season and that local variation was not so large.
openaire   +2 more sources

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Origins of the Pangkaimen Au Deposit in the Northern Great Xing'an Range, China: Evidence From Geochronological, Geochemical, Fluid Inclusion, and H–O–S–Pb Isotope Data

Geological Journal, EarlyView.
The Pangkaimen Au–Ag deposits belong to the epithermal Au deposits, which are of great significance for guiding the research and development of this type of gold deposit. Metallogenic model diagram of Pangkaimen Au–Ag deposit. ABSTRACT The gold (Au) metallogenic belt in the northern Great Xing'an Range is characterised by the wide occurrence of the ...
Sheng Lu, Hongpeng Chen, Chenglu Li, Ye Wang, Tiesheng Li, Rigen Wu, Zengtao Li, Zhichao Song, Xiannan Zhu   +8 more
wiley   +1 more source

Evidence From Microscopy and U–Pb Geochronology as a Clue to the Influence of the Cretaceous Magmatism in the Diagenesis of Pre‐Salt Carbonate Reservoirs in the Santos Basin (Brazil)

Geological Journal, EarlyView.
Carbonates from Santos Basin revealed U–Pb ages correlated with basalt ages (A), suggesting that they were formed during magmatic events. These events placed hot CO2 in the reservoir, which, when mixed with carbonate‐rich cold water (B), led to thermal convection, enabling the formation of the U contained in the carbonates.
Marco António Ruivo de Castro e Brito, Cristiano Leite Sombra, Davy Raeder Brandão, Cleverson Guizan Silva, Sidney Luiz de Matos Mello, Eugênio Vaz dos Santos Neto, Rui Jorge Fernandes Baptista, Ramsés Capilla, Luiz Antônio Pierantoni Gambôa   +8 more
wiley   +1 more source