Results 161 to 170 of about 431,784 (354)
This review presents a comparative analysis of experimental studies aimed at improving the thermal efficiency of solar water heating (SWH) systems. Various enhancement techniques, including nanofluids, phase change materials, optimized collector designs, and hybrid photovoltaic–thermal systems, are evaluated based on their impact on system performance ...
Oluwaseyi O. Alabi +2 more
wiley +1 more source
An integrated analysis of air pollution and meteorological conditions in Jakarta. [PDF]
Handhayani T.
europepmc +1 more source
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 more
wiley +1 more source
Air Pollution and Meteorological Conditions Significantly Associated With Vernal Keratoconjunctivitis Exacerbations. [PDF]
Levanon E +4 more
europepmc +1 more source
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source
Power spectral measurements of clear-air turbulence to long wavelengths for altitudes up to 14,000 meters [PDF]
Measurements of three components of clear air atmospheric turbulence were made with an airplane incorporating a special instrumentation system to provide accurate data resolution to wavelengths of approximately 12,500 m (40,000 ft).
Mccain, W. E. +2 more
core +1 more source
Effects of meteorological conditions on brood care in cooperatively breeding carrion crow and consequences on reproductive success. [PDF]
Trapote E, Canestrari D, Baglione V.
europepmc +1 more source
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 +2 more
wiley +1 more source

