Results 41 to 50 of about 418,008 (299)

Global dust model intercomparison in AeroCom phase I

, 2011
. This study presents the results of a broad intercomparison of a total of 15 global aerosol models within the AeroCom project. Each model is compared to observations related to desert dust aerosols, their direct radiative effect, and their impact on the
N. Huneeus, M. Schulz, Y. Balkanski, J. Griesfeller, J. Prospero, S. Kinne, S. Bauer, O. Boucher, M. Chin, F. Dentener, T. Diehl, R. Easter, D. Fillmore, S. Ghan, P. Ginoux, A. Grini, L. Horowitz, D. Koch, M. Krol, W. Landing, Xiaohong Liu, N. Mahowald, Ronald L. Miller, J. Morcrette, G. Myhre, J. Penner, J. Perlwitz, P. Stier, T. Takemura, C. Zender   +29 more
semanticscholar   +1 more source

Pre-Processing of Energy Demand Disaggregation Based Data Mining Techniques for Household Load Demand Forecasting

Inventions, 2018
Demand side management has a vital role in supporting the demand response in smart grid infrastructure, in the decision-making of energy management, in household applications is significantly affected by the load-forecasting accuracy.
Ahmed F. Ebrahim, Osama A. Mohammed
doaj   +1 more source

Bose-Einstein condensation dynamics from the numerical solution of the Gross-Pitaevskii equation [PDF]

, 2002
We study certain stationary and time-evolution problems of trapped Bose-Einstein condensates using the numerical solution of the Gross-Pitaevskii equation with both spherical and axial symmetries. We consider time-evolution problems initiated by changing
Adhikari, Sadhan K., Muruganandam, Paulsamy   +1 more
core   +2 more sources

Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)

Plant Methods, 2022
Background Faba bean is an important legume crop in the world. Plant height and yield are important traits for crop improvement. The traditional plant height and yield measurement are labor intensive and time consuming.
Yishan Ji, Zhen Chen, Qian Cheng, Rong Liu, Mengwei Li, Xin Yan, Guan-Sin Li, Dong Wang, Li Fu, Y. Ma, Xiuliang Jin, X. Zong, T. Yang   +12 more
semanticscholar   +1 more source

Wind direction signatures in GNSS-R observables from space [PDF]

, 2018
Peer ReviewedPostprint (published ...
Camps Carmona, Adriano José, Guan, Dongliang, Hyuk, Park, Onrubia Ibáñez, Raúl, Pascual Biosca, Daniel, Querol Borràs, Jorge, Wang, Yong   +6 more
core   +2 more sources

Effective artificial neural network-based wind power generation and load demand forecasting for optimum energy management

Frontiers in Energy Research, 2022
The variability of power production from renewable energy sources (RESs) presents serious challenges in energy management (EM) and power system stability. Power forecasting plays a crucial role in optimal EM and grid security.
Jannet Jamii, Majdi Mansouri, Majdi Mansouri, Mohamed Trabelsi, Mohamed Fouazi Mimouni, Wasfi Shatanawi, Wasfi Shatanawi   +6 more
doaj   +1 more source

Ultrasound wave propagation through rough interfaces: Iterative methods [PDF]

, 1996
Two iterative methods for the calculation of acoustic transmission through a rough interface\ud between two media are compared. The methods employ a continuous version of the conjugate\ud gradient technique.
Berg, P.M. van den, Berkhoff, A.P., Thijssen, J.M.   +2 more
core   +5 more sources

A daily gap-free normalized difference vegetation index dataset from 1981 to 2023 in China

Scientific Data
Long-term, daily, and gap-free Normalized Difference Vegetation Index (NDVI) is of great significance for a better Earth system observation. However, gaps and contamination are quite severe in current daily NDVI datasets.
Huiwen Li, Yue Cao, Jingfeng Xiao, Zuoqiang Yuan, Zhanqing Hao, Xiaoyong Bai, Yiping Wu, Yu Liu   +7 more
semanticscholar   +1 more source

Enhancing Short-Term Wind Speed Prediction Based on Deep Learning With Ensemble Learning Model for Small Wind Turbine Applications

IEEE Access
Wind is unstable and unpredictable, and power generation is not constant. Wind speed prediction reduces these disadvantages, and it is essential to measure accurate wind speed predictions to install and stabilize wind power generation systems.
J. Sathyaraj, V. Sankardoss
doaj   +1 more source

Deep learning model for regional solar radiation estimation using satellite images

Ain Shams Engineering Journal, 2023
Solar energy is one of the most prominent renewable energy sources today and it can contribute to the energy market with accurate solar radiation estimation.
Ersan Omer Yuzer, Altug Bozkurt
doaj   +1 more source