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Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t...
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Krzysztof Drachal and Michal Pawlowski
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa...
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Bo Liu, Peng Zhang, Shubo Wu, Yajie Zou, Linbo Li and Shuning Tang
Parking duration analysis is an important aspect of evaluating parking demand. Identifying accurate distribution characteristics of parking duration can not only enhance parking efficiency and parking facility planning, but also provide essential support...
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Van-Thep Nguyen,Day-Yang Liu
Pág. 187 - 194
This study aims to check whether ownership structure affects Vietnamese commercial banks? profitability or not and identify factors influencing Vietnamese commercial banks? profitability as well. Utilizing the Bayesian Model Averaging (BMA) model applyin...
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The main goal of this paper is to determine the factors responsible for economic growth at the global level. The indication of the sources of economic growth may be an important element of the sustainable economic policy for development. The novelty of t...
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Harry R. Podschwit, Narasimhan K. Larkin, E. Ashley Steel, Alison Cullen and Ernesto Alvarado
Climate change is anticipated to influence future wildfire activity in complicated, and potentially unexpected ways. Specifically, the probability distribution of wildfire size may change so that incidents that were historically rare become more frequent...
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Guohua Fang, Yuxue Guo, Xianfeng Huang, Martine Rutten and Yu Yuan
Various regression models are currently applied to derive functional forms of operating rules for hydropower reservoirs. It is necessary to analyze and evaluate the model selecting uncertainty involved in reservoir operating rules for efficient hydropowe...
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Linus Zhang and Xiaoliu Yang
Given the substantial impacts that are expected due to climate change, it is crucial that accurate rainfall?runoff results are provided for various decision-making purposes. However, these modeling results often generate uncertainty or bias due to the im...
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Haibo Chu, Jiahua Wei, Jiaye Li, Zhen Qiao and Jiongwei Cao
Medium- and long-term runoff forecasting is essential for hydropower generation and water resources coordinated regulation in the Yellow River headwaters region. Climate change has a great impact on runoff within basins, and incorporating different clima...
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Bo Qu, Xingnan Zhang, Florian Pappenberger, Tao Zhang, Yuanhao Fang
Pág. 1 - 13
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to ...
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