Results 111 to 120 of about 204,835 (237)
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
FRACTIONAL BROWNIAN SHEET HOJA BROWNIANA FRACCIONAL
Revista Colombiana de Estadística, 2005 Fractional brownian sheet or two parameter fractional brownian motion and some important properties with selfsimilar and stationary increments are presented.
Blanco Castañeda Liliana +1 more
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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 paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
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
Intrinsic and Measured Information in Separable Quantum Processes
EntropyStationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. If an observer performs identical measurements on a qudit sequence, the outcomes are a realization of a classical stochastic ...
David Gier, James P. Crutchfield
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Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Geological Journal, EarlyView.Energy security risk has a positive impact on material footprint. Renewable energy consumption reduces material footprint. ABSTRACT Following a high economic growth path, the group of G7 economies is found to be utilising more and more material, causing a material footprint (MF), which in turn contributes to pollution.
Serhat Çamkaya +4 more
wiley +1 more source
Ruch liniowego układu dynamicznego po losowo nierównej belce na sprężystym podłożu
Engineering Transactions, 1971 Motion of a linear system on the uneven beam on an elastic foundations A dynamic system with elastic and viscous bonds is moving on the undulated surface of an indefinitely long beam on elastic foundations.
Andrzej CHUDZIKIEWICZ
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