Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts
In: International journal of forecasting, Band 36, Heft 4, S. 1318-1328
ISSN: 0169-2070
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In: International journal of forecasting, Band 36, Heft 4, S. 1318-1328
ISSN: 0169-2070
In: Baruch College Zicklin School of Business Research Paper No. 2019-01-02
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Working paper
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In: Zhang B, Chan JCC, Cross JL, June 2018, Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts paper no. 32/2018.
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Working paper
In: Progress in nuclear energy: the international review journal covering all aspects of nuclear energy, Band 73, S. 1-10
ISSN: 0149-1970
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 61, Heft 1, S. 159-170
In: Environmental science and pollution research: ESPR, Band 20, Heft 4, S. 2448-2455
ISSN: 1614-7499
In: BITE-D-22-03254
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In: HELIYON-D-22-15585
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In: JEMA-D-23-20617
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In: APEN-D-23-12251
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In: Wenchao Zhang, Bo Zhang, Fei Xu, Mohammad Asif, "Research on Numerical Simulation Method of Nonstationary Random Vibration Signal Sensor in Railway Transportation", Journal of Sensors, vol. 2022, Article ID 7149477, 7 pages, 2022. https://doi.org/10.1155/2022/7149477
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In: Strategic planning for energy and the environment
ISSN: 1546-0126
This paper presents a solution to the issues of redundancy and ambiguity in predicting variables associated with renewable energy output while aligning with the objectives of the "dual-carbon" energy strategy. A low-carbon economic dispatch method for multi-form energy-intensive parks is proposed, employing the ICT-GRU prediction model. Leveraging historical generation data, the ICT-GRU model enables accurate forecasting of renewable energy output. Subsequently, a comprehensive energy system model is developed considering the carbon emission characteristics and control features of park entities. The model aims to minimize operational costs and facilitate low-carbon economic dispatch. The effectiveness of the proposed method is demonstrated through a case study conducted in a multi-form energy-intensive load park integrated into a power grid. The results validate its capability to achieve low-carbon economic operation and provide valuable insights for grid dispatch optimization.
In: Environmental science and pollution research: ESPR, Band 30, Heft 36, S. 85850-85866
ISSN: 1614-7499