Enhancing accuracy in point-interval load forecasting: A new strategy based on data augmentation, customized deep learning, and weighted linear error correction

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126686 - 126686

Опубликована: Фев. 1, 2025

Язык: Английский

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Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion

Energy, Год журнала: 2025, Номер unknown, С. 135031 - 135031

Опубликована: Фев. 1, 2025

Язык: Английский

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AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings

Energies, Год журнала: 2024, Номер 17(17), С. 4277 - 4277

Опубликована: Авг. 27, 2024

Despite the tightening of energy performance standards for buildings in various countries and increased use efficient renewable technologies, it is clear that sector needs to change more rapidly meet Net Zero Emissions (NZE) scenario by 2050. One problems have been analyzed intensively recent years operation much than they were designed to. This problem, known as gap, found many often attributed poor management building systems. The application Artificial Intelligence (AI) Building Energy Management Systems (BEMS) has untapped potential address this problem lead sustainable buildings. paper reviews different AI-based models proposed applications with intention reduce consumption. It compares evaluated reviewed papers presenting accuracy error rates model identifies where greatest savings could be achieved, what extent. review showed offices (up 37%) when employ AI HVAC control optimization. In residential educational buildings, lower intelligence existing BEMS results smaller 23% 21%, respectively).

Язык: Английский

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A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization

Applied Intelligence, Год журнала: 2024, Номер 54(2), С. 1770 - 1797

Опубликована: Янв. 1, 2024

Язык: Английский

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An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting

Applied Energy, Год журнала: 2024, Номер 375, С. 124057 - 124057

Опубликована: Авг. 9, 2024

Язык: Английский

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Multi-energy load forecasting via hierarchical multi-task learning and spatiotemporal attention

Applied Energy, Год журнала: 2024, Номер 373, С. 123788 - 123788

Опубликована: Июль 14, 2024

Язык: Английский

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Integrated energy short-term multivariate load forecasting based on PatchTST secondary decoupling reconstruction for progressive layered extraction multi-task learning network

Expert Systems with Applications, Год журнала: 2025, Номер 269, С. 126446 - 126446

Опубликована: Янв. 7, 2025

Язык: Английский

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Application of artificial neural networks in predicting the performance of ice thermal energy storage systems

Journal of Energy Storage, Год журнала: 2024, Номер 95, С. 112547 - 112547

Опубликована: Июнь 14, 2024

Язык: Английский

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A federated and transfer learning based approach for households load forecasting

Knowledge-Based Systems, Год журнала: 2024, Номер 299, С. 111967 - 111967

Опубликована: Май 24, 2024

Язык: Английский

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Analysis of aggregated load consumption forecasting in short, medium and long term horizons using Dynamic Mode Decomposition

Energy Reports, Год журнала: 2024, Номер 12, С. 1000 - 1013

Опубликована: Июль 10, 2024

Язык: Английский

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