Results 11 to 20 of about 25,752 (301)
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
doaj +1 more source
Modelling seasonality in Australian building approvals
The paper examines the impact of seasonal influences on Australian housing approvals, represented by the State of Victoria[1] building approvals for new houses (BANHs).
Harry M Karamujic
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Analyzing interrelated stochastic trend and seasonality on the example of energy trading data [PDF]
The correct modelling of long- and short-term seasonality is a very interesting issue. The choice between the deterministic and stochastic modelling of trend and seasonality and their implications are as relevant as the case of deterministic and ...
Mák, Fruzsina
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A COVID-19 epidemic model with periodicity in transmission and environmental dynamics
From the beginning of the outbreak of SARS-CoV-2 (COVID-19), South African data depicted seasonal transmission patterns, with infections rising in summer and winter every year.
Belthasara Assan +2 more
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Deterministic seasonality versus seasonal fractional integration [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +6 more sources
Achieving effective calibration of precipitation forecasts over a continental scale
Study region: Australia. Study focus: We developed the Seasonally Coherent Calibration (SCC) model to post-process precipitation forecasts from numerical weather prediction (NWP) models.
Qichun Yang, Quan J. Wang, Kirsti Hakala
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In this paper, we present new results on deterministic sudden changes and stochastic fluctuations’ effects on the dynamics of a two-predator one-prey model.
Jawdat Alebraheem +4 more
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Agriculture and forestry impact assessment for tephra fall hazard
Developing approaches to assess the impact of tephra fall to agricultural and forestry systems is essential for informing effective disaster risk management strategies.
Heather Craig +4 more
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Seasonal succession in bacterioplankton is a common process in marine waters. However, seasonality in their spatial turnover is largely unknown. Here, we investigated spatial turnover of surface bacterioplankton along a nearshore-to-offshore gradient in ...
Hanjing Hu +6 more
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Over the last three decades, accurate modeling and forecasting of electricity prices has become a key issue in competitive electricity markets. As electricity price series usually exhibit several complex features, such as high volatility, seasonality ...
Ismail Shah +4 more
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