Cited by Analysis of vehicle-to-grid economy based on sustainable development grounded in game theory

Frequency-domain analysis for cooling load prediction: A Multi-Scale FourierGNN Crossformer approach DOI

Jian Cen,

Linzhe Zeng,

Xi Liu

et al.

International Journal of Refrigeration, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

A Novel Method for Bearing Fault Diagnosis Based on a Parallel Deep Convolutional Neural Network DOI

Zhuonan Lin,

Yongxing Wang, Yining Guo

et al.

Symmetry, Journal Year: 2024, Volume and Issue: 16(4), P. 432 - 432

Published: April 4, 2024

The symmetry of vibration signals collected from healthy machinery, which gradually degenerates with the development faults, must be detected for timely diagnosis and prognosis. However, conventional methods may miss spatiotemporal relationships, struggle varying sampling rates, lack adaptability to changing loads conditions, affecting diagnostic accuracy. A novel bearing fault approach is proposed address these issues, integrates Gramian angular field (GAF) transformation a parallel deep convolutional neural network (DCNN). crux this method lies in preprocessing input signals, where rate normalization employed minimize effects rates on outcomes. Subsequently, processed undergo GAF transformation, converting them into an image format that effectively represents their relationships two-dimensional space. These images serve as inputs DCNN, facilitating feature extraction classification through learning techniques leading improved generalization capabilities test data. achieves overall accuracy 96.96%, even absence training data within set. Discussions are also conducted quantify model structures

Language: Английский

Citations

Adaptive Operation Strategy of a District Cooling System with Chilled Water Storage and Its Validations by OpenModelica Modeling and Simulations DOI

Yang Liu,

Songcen Wang,

Hongyin Chen

et al.

Energy storage and applications, Journal Year: 2024, Volume and Issue: 1(1), P. 3 - 18

Published: Sept. 30, 2024

Developing operation strategies for district cooling systems with chilled water storage is challenging due to uncertain fluctuations of demand in actual operations. To address this issue, paper developed an adaptive strategy and performed its validations by modeling simulating a commercial system Shanghai using OpenModelica. Firstly, the originally designed was evaluated simulation but found unable meet statistically averaged ideal requirements early exhaustion stored at about 5:30 PM. Then, build foundations development, newly established increasing time base load chillers valley flat electricity price periods. The new proved numerically sustainable satisfying demand. Moreover, realize strategy’s adaptability fluctuations, tracking target mass curve that calculated implementing strategy. results verify enables good representative fluctuation cases automatically periodically adjusting status chillers. then further widely tested hundreds different variations. time-lagging problem resulting failures numerical tests addressed slightly modifying Results indicate deal as well allowing low supply economic costs power grid-friendly characteristics. This study provides theoretical support design

Language: Английский

Citations

Analysis of vehicle-to-grid economy based on sustainable development grounded in game theory DOI

Jingjin Wu, Qian Sun, Chuang Li

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104087 - 104087

Published: Nov. 27, 2024

Language: Английский

Citations