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Published in 2019 at "Empirical Economics"
DOI: 10.1007/s00181-019-01788-0
Abstract: We consider the problem of macroeconomic forecasting for China. Our objective is to determine whether well-established forecasting models that are commonly used to compute forecasts for Western macroeconomies are also useful for China. Our study…
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Keywords:
simpler better;
macroeconomy simpler;
forecasting models;
models chinese ... See more keywords
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Published in 2021 at "Review of Quantitative Finance and Accounting"
DOI: 10.1007/s11156-021-00995-0
Abstract: In this paper, we estimate coefficients of bankruptcy forecasting models, such as logistic and neural network models, by maximizing their discriminatory power as measured by the Area Under Receiver Operating Characteristics (AUROC) curve. A method…
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Keywords:
bankruptcy forecasting;
bankruptcy;
forecasting models;
discriminatory power ... See more keywords
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Published in 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02213-y
Abstract: This paper presents a comparison of different short-term water demand forecasting models. The comparison regards six models that differ in terms of: forecasting technique, type of forecast (deterministic or probabilistic) and the amount of data…
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Keywords:
demand forecasting;
water;
term water;
forecasting models ... See more keywords
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Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22457-w
Abstract: Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs for pandemic response efforts, and decision-makers need information about predictive performance. We screen n = 386 public COVID-19 forecasting models, identifying n = 7 that are global in…
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Keywords:
forecasting models;
covid mortality;
predictive performance;
performance ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3429644
Abstract: The global energy landscape is increasingly shaped by renewable energy sources, particularly photovoltaic systems, which are influenced by economic, environmental and geopolitical factors. Technological advances and political incentives have reduced the cost of photovoltaic systems…
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Keywords:
forecasting models;
energy;
location specific;
photovoltaic ... See more keywords
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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3375936
Abstract: The estimation of the amount of uncertainty featured by predictive machine learning models has acquired a great momentum in recent years. Uncertainty estimation provides the user with augmented information about the model’s confidence in its…
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Keywords:
forecasting models;
traffic forecasting;
uncertainty;
measuring confidence ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270182
Abstract: Governments have implemented different interventions and response models to combat the spread of COVID-19. The necessary intensity and frequency of control measures require us to project the number of infected cases. Three short-term forecasting models…
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Keywords:
infected cases;
forecasting models;
term forecasting;
cases canada ... See more keywords
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Published in 2024 at "Bulletin of the Seismological Society of America"
DOI: 10.1785/0120240007
Abstract: We present the development and testing of multiple epidemic-type aftershock sequence (ETAS)-based earthquake forecasting models for Switzerland, aiming to identify suitable candidate models for operational earthquake forecasting (OEF) at the Swiss Seismological Service. We consider…
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Keywords:
forecasting models;
time;
etas based;
model ... See more keywords
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Published in 2020 at "Journal of Water and Climate Change"
DOI: 10.2166/wcc.2020.239
Abstract: Droughts of greater severity are expected to occur more frequently at larger space-time scales under global warming and climate change. Intensified drought and increased rainfall intermittency will heighten tree mortality. To mitigate drought-driven societal and…
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Keywords:
drought;
forecasting models;
mortality;
tree mortality ... See more keywords
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Published in 2025 at "Journal of Water and Climate Change"
DOI: 10.2166/wcc.2025.775
Abstract: Hydrological prediction is crucial for managing water resources, and innovations like machine learning (ML) present an opportunity to enhance predictive modeling capabilities. The aim of this study is to compare the usage of ML algorithms,…
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Keywords:
forecasting models;
traditional hydrological;
comparing traditional;
climate ... See more keywords
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Published in 2025 at "Frontiers in Energy Research"
DOI: 10.3389/fenrg.2025.1547617
Abstract: This article introduces a novel, simulation-based methodology to quantify and optimize the economic benefits of controlling flexible loads in a distribution system operator (DSO) grid without relying on historical consumption data. By training a non-parametric…
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Keywords:
residential load;
forecasting models;
global forecasting;
forecasting ... See more keywords