Results 21 to 30 of about 2,269,400 (346)

Wind Power Prediction Based on a Hybrid Granular Chaotic Time Series Model

Frontiers in Energy Research, 2022
For realizing high-accuracy short-term wind power prediction, a hybrid model considering physical features of data is proposed in this paper, with consideration of chaotic analysis and granular computing.
Yanyang Wang, Wei Xiong, Shiping E., Qingguo Liu, Nan Yang, Ping Fu, Kang Gong, Yu Huang   +7 more
doaj   +1 more source

Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning

Energies
Achieving accurate battery state of health (SOH) estimation is crucial, but existing methods still face many challenges in terms of data quality, computational efficiency, and cross-scenario generalization capabilities.
Jinling Ren, Misheng Cai, Dapai Shi
doaj   +1 more source

Research on Ultra-Short-Term Prediction Model of Wind Power Based on Attention Mechanism and CNN-BiGRU Combined

Frontiers in Energy Research, 2022
With the rapid development of new energy technologies and aiming at the proposal of the “DOUBLE CARBON” goal, the proportion of wind energy and other new sustainable energy power solutions in the power industry continues to increase and occupy a more ...
Yuyu Meng, Yuyu Meng, Chen Chang, Chen Chang, Jiuyuan Huo, Jiuyuan Huo, Jiuyuan Huo, Yaonan Zhang, Hamzah Murad Mohammed Al-Neshmi, Jihao Xu, Tian Xie   +10 more
doaj   +1 more source

SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection

Algorithms
We present a new deep learning architecture, named SynthSecureNet, which hybridizes two popular architectures: MobileNetV2 and ResNetV2. The latter have been shown to be promising in violence detection.
Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro   +2 more
doaj   +1 more source

3D Hybrid Numerical Model of Residual Stresses: Numerical—Sensitivity to Cutting Parameters When Turning 15-5PH Stainless Steel

Journal of Manufacturing and Materials Processing, 2021
This paper investigates the residual stresses induced by a longitudinal turning operation in 15-5PH martensitic stainless steel. An experimental investigation has quantified the sensitivity of residual stresses to cutting speed, feed, tool geometry and ...
Alexandre Mondelin, Frédéric Valiorgue, Joël Rech, Michel Coret   +3 more
doaj   +1 more source

A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan

Remote Sensing
The integration of the Crop Growth Model (CGM), Radiative Transfer Model (RTM), and Machine Learning Algorithm (MLA) for estimating crop traits represents a cutting-edge area of research.
Rana Ahmad Faraz Ishaq, Guanhua Zhou, Aamir Ali, Syed Roshaan Ali Shah, Cheng Jiang, Zhongqi Ma, Kang Sun, Hongzhi Jiang   +7 more
doaj   +1 more source

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

Energies, 2021
Load forecasting is an essential task in the operation management of a power system. Electric power companies utilize short-term load forecasting (STLF) technology to make reasonable power generation plans.
Yuhong Xie, Yuzuru Ueda, Masakazu Sugiyama   +2 more
doaj   +1 more source

A hybrid model for mapping simplified seismic response via a GIS-metamodel approach [PDF]

, 2014
In earthquake-prone areas, site seismic response due to lithostratigraphic sequence plays a key role in seismic hazard assessment. A hybrid model, consisting of GIS and metamodel (model of model) procedures, was introduced aimed at estimating the 1-D ...
Bonito, L., Grelle, G., Guadagno, F. M., Guerriero, L., Revellino, P.   +4 more
core   +1 more source

Model Surshing: Model Hybrid antara Model Produksi Surplus dan Model Cushing dalam Pendugaan Stok Ikan (Studi Kasus: Perikanan Lemuru di Selat Bali) [PDF]

, 2004
Kajian terhadap pendugaan stok ikan, khususnya perikanan lemuru di Selat Bali, telah banyak dilakukan oleh para peneliti melalui penggunaan model poduksi surplus. Dalam penelitian ini dilakukan penggabungan antara model produksi surplus dan model Cushing
Boer, M. (Mennofatria), Fauzi, A. (Akhmad), Monintja, D. R. (Daniel), Tinungki, G. M. (Georgina), Widodo, J. (Johanes)   +4 more
core  

Bisimulation Relations Between Automata, Stochastic Differential Equations and Petri Nets [PDF]

, 2010
Two formal stochastic models are said to be bisimilar if their solutions as a stochastic process are probabilistically equivalent. Bisimilarity between two stochastic model formalisms means that the strengths of one stochastic model formalism can be used
Henk A.P. Blom, Manuela Bujorianu, Mariken H.C. Everdij, Michael Fisher   +3 more
core   +3 more sources