A novel seasonal grey prediction model with time-lag and interactive effects for forecasting the photovoltaic power generation

Energy, Год журнала: 2024, Номер 304, С. 131939 - 131939

Опубликована: Июнь 4, 2024

Язык: Английский

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Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123720 - 123720

Опубликована: Сен. 4, 2024

Язык: Английский

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Forecasting the electric power load based on a novel prediction model coupled with accumulative time-delay effects and periodic fluctuation characteristics

Energy, Год журнала: 2025, Номер unknown, С. 134518 - 134518

Опубликована: Янв. 1, 2025

Язык: Английский

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A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network

Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110263 - 110263

Опубликована: Март 20, 2025

Язык: Английский

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Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms

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

Опубликована: Фев. 29, 2024

Energy-related CO2 emissions are one of the biggest concerns facing urban design today, increasing rapidly as cities grow. This study uses inputs GDP G8 nations (from 1990 to 2016) depending on utilization various energy sources, including coal, oil, natural gas, and renewable energy. Multilayer perceptrons (MLP) combined with nature-inspired optimization algorithms, such Heap-Based Optimizer (HBO), Teaching-Learning-Based Optimization (TLBO), Whale Algorithm (WOA), Vortex Search algorithm (VS), Earthworm (EWA), create a dependable predictive network that takes complexity problem into account. Our key contributions lie in developing comprehensively evaluating these hybrid models assessing their efficacy capturing intricate dynamics carbon emissions. The found TLBO VS outperform other algorithms emission computation accuracy. has higher training MSE (3.6778) lower testing (4.4673), suggesting larger squared errors data MSE, less overfitting due better generalization set.

Язык: Английский

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An innovative information accumulation multivariable grey model and its application in China's renewable energy generation forecasting

Expert Systems with Applications, Год журнала: 2024, Номер 252, С. 124130 - 124130

Опубликована: Май 7, 2024

Язык: Английский

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A unified new-information-based accumulating generation operator based on feature decoupling for multi-characteristic time series forecasting

Applied Soft Computing, Год журнала: 2024, Номер 154, С. 111310 - 111310

Опубликована: Фев. 2, 2024

Язык: Английский

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An innovative data-feature-driven approach for CO2 emission predictive analytics: A perspective from seasonality and nonlinearity characteristics

Computers & Industrial Engineering, Год журнала: 2024, Номер 192, С. 110195 - 110195

Опубликована: Май 6, 2024

Язык: Английский

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A novel grey seasonal model with time power for energy prediction

Expert Systems with Applications, Год журнала: 2024, Номер 259, С. 125356 - 125356

Опубликована: Сен. 10, 2024

Язык: Английский

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A novel time-delay multivariable grey model and its application in predicting oil production

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 139, С. 109505 - 109505

Опубликована: Окт. 23, 2024

Язык: Английский

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