Results 11 to 20 of about 536,403 (288)
Zhongguo dianli, 2023 In recent years, the continuous upgrading and improvement of measurement systems at all levels in the power system makes it possible to further improve the accuracy of load forecasting in high-voltage substations.
Xuchen TANG +4 more
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SwinVRNN: A Data‐Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Journal of Advances in Modeling Earth Systems, 2023 The data‐driven approaches for medium‐range weather forecasting are recently shown to be extraordinarily promising for ensemble forecasting due to their fast inference speed compared to the traditional numerical weather prediction models.
Yuan Hu, Lei Chen, Zhibin Wang, Hao Li
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Applied Sciences, 2022 Electric power distribution networks face increasing factors for power-quality (PQ) deterioration, such as distributed, renewable-energy generation units and countless high-end electronic devices loaded as controllers or in standalone mode. Consequently,
Juan J. Flores +5 more
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Initial distribution spread: A density forecasting approach [PDF]
Physica D: Nonlinear Phenomena, 2012 21 pages, 9 figures, accepted for publication at Physica ...
MacHete, R, Moroz, I
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Optimal Forecast Combinations Under General Loss Functions and Forecast Error Distributions [PDF]
SSRN Electronic Journal, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elliott, Graham, Timmermann, Allan
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A combination forecasting model of wind speed based on decomposition
Energy Reports, 2021 Due to the intermittent, fluctuating and random characteristics of wind system, the output of wind power will become unstable with the change of wind, which brings severe challenges to the safe and stable operation of the power system.
Zhongda Tian, Hao Li, Feihong Li
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IEEE Access, 2022 Developing an effective interval-valued time series (ITS) forecasting scheme for electric power generation is an important issue for energy operators and governments when making energy strategic decisions.
Ting-Jen Chang +3 more
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Load forecasting of urban gas users in West-to-East Gas Pipeline System
You-qi chuyun, 2021 In order to realize the intelligent distribution function of natural gas distribution stations in the construction of intelligent pipeline networks, load forecasting should be carried out for users, especially the urban gas users who are greatly affected
Yan WU +5 more
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IEEE Access, 2019 Load forecasting is useful for various applications, including maintenance planning. The study of load forecasting using recent state-of-the-art hybrid artificial intelligence (AI) and deep learning (DL) techniques is limited in South Africa (SA) and ...
Sibonelo Motepe +2 more
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Ensemble Distributional Forecasting for Insurance Loss Reserving
SSRN Electronic Journal, 2022 Loss reserving generally focuses on identifying a single model that can generate superior predictive performance. However, different loss reserving models specialise in capturing different aspects of loss data. This is recognised in practice in the sense that results from different models are often considered, and sometimes combined.
Avanzi, B, Li, Y, Wong, B, Xian, A
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