Results 131 to 140 of about 319,565 (302)
In order to forecast turbulence, one needs to have an understanding of the cause of turbulence. Therefore, an attempt is made to show the atmospheric structure that often results when aircraft encounter moderate or greater turbulence.
Chandler, C. L.
core +1 more source
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 +5 more
wiley +1 more source
The MESUR mission will place a network of small, robust landers on the Martian surface, making a coordinated set of observations for at least one Martian year.
Squyres, S. W.
core +1 more source
Energy Science &Engineering, EarlyView.Graphical abstract of wind energy study in the Vicinity of GolGohar Sirjan Mining and Industrial Company. ABSTRACT Wind energy is a central pillar of sustainable energy transition; however, its feasibility strongly depends on site‐specific wind regimes and economic conditions.
Hossein Amiri
wiley +1 more source
Energy Science &Engineering, EarlyView.This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu +7 more
wiley +1 more source
Energy Science &Engineering, EarlyView.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
Energy Science &Engineering, EarlyView.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
Energy Science &Engineering, EarlyView.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
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 +2 more
wiley +1 more source