专题:Grey System Theory Applications

This cluster of papers focuses on the application of Grey System Theory in forecasting various aspects related to energy consumption, CO2 emissions, and renewable energy. The papers explore the use of time series prediction models, nonlinear grey models, and multivariable grey models to forecast electricity demand, renewable energy consumption, and CO2 emissions. Additionally, the cluster discusses the optimization and application of fractional grey models for accurate forecasting.
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Forecasting Educational Inequality in China for Sustainable Development: A Hybrid Framework of GM(1,1) and CS-SVR

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Short-term load forecasting based on the improved bi-directional long short-term memory model

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Forecasting inbound tourist arrivals to Iran post-COVID-19 pandemic: a small data approach using grey models

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Non-stationary multi-scale prediction model based on Patch Time Series Transformer for multi-step coal price forecasting

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A decomposition-based hybrid framework of grey system model and Gaussian process regression for renewable energy consumption forecasting

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An interpretable rock mass quality intelligent classification model (IRICM) driven by refined decision rule and its application

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Forecasting of energy and emissions for the cement sector: a comprehensive review and scenario-based assessment

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A three-way decision framework integrating grey clustering and TOPSIS for sustainable urban project prioritization

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Multi criteria decision making approach using (p, q)-fractional fuzzy sets and Yager operations

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Spatiotemporal information fusion for urban-agglomeration carbon-emission forecasting: a grey multivariate model with composite city proximity

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