Multivariate grey prediction model with fractional time-lag parameter and its application

Applied Mathematical Modelling, Год журнала: 2025, Номер unknown, С. 115940 - 115940

Опубликована: Янв. 1, 2025

Язык: Английский

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A novel fractional-order kernel regularized non-homogeneous grey Riccati model and its application in oil reserves prediction

Energy, Год журнала: 2025, Номер unknown, С. 134675 - 134675

Опубликована: Янв. 1, 2025

Язык: Английский

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Modeling, prediction and analysis of natural gas consumption in China using a novel dynamic nonlinear multivariable grey delay model

Energy, Год журнала: 2024, Номер 305, С. 132105 - 132105

Опубликована: Окт. 1, 2024

Язык: Английский

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Forecasting China’s renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model

Renewable Energy, Год журнала: 2024, Номер 233, С. 121125 - 121125

Опубликована: Авг. 6, 2024

Язык: Английский

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The research on a novel multivariate grey model and its application in carbon dioxide emissions prediction

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(14), С. 21986 - 22011

Опубликована: Фев. 24, 2024

Язык: Английский

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A new information priority grey prediction model for forecasting wind electricity generation with targeted regional hierarchy

Expert Systems with Applications, Год журнала: 2024, Номер 252, С. 124199 - 124199

Опубликована: Май 10, 2024

Язык: Английский

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Prediction of CO ₂ emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

Engineering Applications of Computational Fluid Mechanics, Год журнала: 2024, Номер 18(1)

Опубликована: Апрель 6, 2024

One of the most significant issues in urban design is energy-related CO2 emissions, which are rising quickly as cities expand. The GDP Central European countries (from 1990 to 2016) based on several energy sources, such coal, oil, natural gas, and renewable energy, used inputs this study. To develop a reliable predictive network considering problem complexity, multilayer perceptron (MLP) combined with nature-inspired optimization algorithms, namely, black hole algorithm (BHA), future search (FSA), backtracking (BSA), biogeography-based (BBO), shuffled complex evolution (SCE). By applying approaches mentioned above synthesis MLP, recommended BBO, BHA, BSA, FSA, SCE ensembles obtained. A series parametric studies performed improve effectiveness employed models. It found that, by combining MLP's accuracy increased. result from analysis showed that BBO perform better than other three algorithms emission was computed highest level using R2 = 0.9999 0.9998, RMSE 1.6781 2.0539 for SCE, 1.8689 2.3833 BBO.

Язык: Английский

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Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior matching algorithms

Applied Energy, Год журнала: 2024, Номер 367, С. 123386 - 123386

Опубликована: Май 11, 2024

Язык: Английский

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An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109066 - 109066

Опубликована: Авг. 11, 2024

Язык: Английский

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An unbiased non-homogeneous grey forecasting model and its applications

Applied Mathematical Modelling, Год журнала: 2024, Номер 137, С. 115677 - 115677

Опубликована: Сен. 6, 2024

Язык: Английский

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