Results 151 to 160 of about 125,151 (312)

An experiment in large-scale air-sea interaction [PDF]

, 1979
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1979.Microfiche copy available in Archives and Science.Bibliography : leaves 89-90.by Daniel Golan.M ...
Golan, Daniel
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Optimization and Cost Evaluation of an Autonomous Hybrid Renewable Energy System for Electrifying Rural Areas in Nigeria

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, Sani Salisu, Abdullahi Abubakar Mas'ud, Umar Musa, Ibrahim Abdullahi Shehu, Adamu Abubakar Sa'idu, Firdaus Muhammad‐Sukki, Mohd Khairul Amri Kamarudin   +7 more
wiley   +1 more source

Duration of wet seasons in Australia [cartographic material] /

, 1910
"B.C.H."; Also available online http://nla.gov.au/nla.map ...
Australia. Bureau of Meteorology.
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The baroclinic instability of simple and highly structured one-dimensional basic states [PDF]

, 1979
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1979.Microfiche copy available in Archives and Science.Bibliography: leaves 231-234.by James William Anthony Fullmer.Ph ...
Fullmer, James William Anthony
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Promoting new links between energy and meteorology. Meeting summaries

, 2013
The growing body of knowledge and experience in weather and climate risk management in the energy industry has driven a rapidly growing research interest in establishing links between weather, climate, and energy.
Haupt, Sue Ellen, Audinet, Pierre, Schaeffer, Roberto, Dutton, John, Dubus, Laurent, Zillman, John, Buontempo, Carlo, Bonelli, Paolo, Harrison, Mike, Gunasekera, Don, Schroedter-Homscheidt, Marion, Zhu, Rong, Troccoli, Alberto, Lee, Trevor, Gryning, Sven-Erik, Boulahya, Mohammed S., Dutton, John A., Ebinger, Jane, Mailier, Pascal, Griggs, David, Mathieu, Pierre-Philippe, Boulahya, Mohammed, Coppin, Peter   +22 more
core   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

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, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Eddy heat fluxes and stability of planetary waves [PDF]

, 1979
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1979.Microfiche copy available in Archives and Science.Vita.Bibliography: leaves 143-146.by Charles Augustin Lin.Ph ...
Lin, Charles Augustin
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Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

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

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

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, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

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, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source