Articles with "forecasting models" as a keyword



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Forecasting models for the Chinese macroeconomy: the simpler the better?

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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… read more here.

Keywords: simpler better; macroeconomy simpler; forecasting models; models chinese ... See more keywords
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Estimating corporate bankruptcy forecasting models by maximizing discriminatory power

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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… read more here.

Keywords: bankruptcy forecasting; bankruptcy; forecasting models; discriminatory power ... See more keywords

A Comparison of Short-Term Water Demand Forecasting Models

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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… read more here.

Keywords: demand forecasting; water; term water; forecasting models ... See more keywords

Predictive performance of international COVID-19 mortality forecasting models

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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… read more here.

Keywords: forecasting models; covid mortality; predictive performance; performance ... See more keywords

Location-Specific Optimization of Photovoltaic Forecasting Models Using Fine-Tuning Techniques

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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… read more here.

Keywords: forecasting models; energy; location specific; photovoltaic ... See more keywords

Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability

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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… read more here.

Keywords: forecasting models; traffic forecasting; uncertainty; measuring confidence ... See more keywords

COVID-19 infected cases in Canada: Short-term forecasting models

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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… read more here.

Keywords: infected cases; forecasting models; term forecasting; cases canada ... See more keywords

suiETAS: Developing and Testing ETAS-Based Earthquake Forecasting Models for Switzerland

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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… read more here.

Keywords: forecasting models; time; etas based; model ... See more keywords
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Forecasting of droughts and tree mortality under global warming: a review of causative mechanisms and modeling methods

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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… read more here.

Keywords: drought; forecasting models; mortality; tree mortality ... See more keywords

Comparing traditional hydrological forecasting models with CatBoost algorithm: insights from CMIP6 climate scenarios

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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,… read more here.

Keywords: forecasting models; traditional hydrological; comparing traditional; climate ... See more keywords

Global forecasting models for residential load flexibility and grid optimization

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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… read more here.

Keywords: residential load; forecasting models; global forecasting; forecasting ... See more keywords