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Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2463
Abstract: This paper uses high-frequency continuous intraday electricity price data from the EPEX market to estimate and forecast realized volatility. Three different jump tests are used to break down the variation into jump and continuous components…
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Keywords:
realized volatility;
volatility;
intraday electricity;
continuous intraday ... See more keywords
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Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2466
Abstract: We examine whether it is possible to improve volatility forecasts by simultaneously accounting for parameter instability and model uncertainty. Changes in the regression coefficients and/or the error variance are driven by mixture distributions for state…
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Keywords:
volatility;
stock market;
modeling forecasting;
mixture ... See more keywords
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Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.3260
Abstract: This study proposes the use of a heterogeneous autoregressive model with time‐varying parameters (TVP‐HAR) to model and forecast the Chicago Board Options Exchange (CBOE) volatility index (VIX). To demonstrate the superiority of the TVP‐HAR model,…
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Keywords:
har model;
vix;
tvp har;
model ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9529
Abstract: Life expectancy in the UK has increased since the 19th century. As of 2019, there are just under 12 million people in the UK aged 65 or over, with close to a quarter living by…
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Keywords:
forecasting home;
modeling forecasting;
home activity;
activity older ... See more keywords
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Published in 2021 at "ISA Transactions"
DOI: 10.1016/j.isatra.2021.01.028
Abstract: This paper presents a data-driven approach for COVID-19 modeling and forecasting, which can be used by public policy and decision makers to control the outbreak through Non-Pharmaceutical Interventions (NPI). First, we apply an extended Kalman…
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Keywords:
public policy;
driven modeling;
data driven;
modeling forecasting ... See more keywords
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Published in 2020 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2006520117
Abstract: Significance The coronavirus disease 2019 (COVID-19) pandemic has placed epidemic modeling at the forefront of worldwide public policy making. Nonetheless, modeling and forecasting the spread of COVID-19 remain a challenge. Here, we present and detail…
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Keywords:
forecasting spread;
policy;
covid;
modeling forecasting ... See more keywords
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Published in 2020 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2019.2959770
Abstract: The expansion of residential demand side management programs and increased deployment of controllable loads require accurate appliance-level load modeling and forecasting. This paper proposes a conditional hidden semi-Markov model to describe the probabilistic nature of…
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Keywords:
driven load;
forecasting residential;
data driven;
modeling forecasting ... See more keywords
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Published in 2021 at "Fluctuation and Noise Letters"
DOI: 10.1142/s0219477521300032
Abstract: This paper presents the development process of the exponential smoothing (ES) model, starts with the traditional ES model and then focuses to the multiple seasonal ES model. This paper describes an...
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Keywords:
forecasting multiple;
exponential smoothing;
smoothing modeling;
seasonal time ... See more keywords
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Published in 2018 at "International Journal of Computing"
DOI: 10.12962/j24775401.v4i2.3824
Abstract: Ethiopian economy is extremely dependent on agricultural sector, which contributes 45% to the Gross Domestic Product (GDP), 85% foreign earnings and provides livelihood to 80% of the population. Ethiopian agriculture is highly dependent on natural…
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Keywords:
model;
forecasting rainfall;
modeling forecasting;
rainfall ethiopia ... See more keywords
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Published in 2017 at "Journal of Marine Research"
DOI: 10.1357/002224017821836734
Abstract: Author Posting. © The Author, 2017. This article is posted here by permission of Sears Foundation for Marine Research for personal use, not for redistribution. The definitive version was published in Journal of Marine Research…
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Keywords:
ocean acoustic;
acoustic conditions;
forecasting ocean;
modeling forecasting ... See more keywords
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Published in 2019 at "Frontiers in Marine Science"
DOI: 10.3389/fmars.2019.00427
Abstract: Subseasonal-to-seasonal (S2S) forecasts have the potential to provide advance information about weather and climate events. The high heat capacity of water means that the subsurface ocean stores and re-releases heat (and other properties) and is…
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Keywords:
s2s forecasts;
ocean observations;
subsurface ocean;
understanding modeling ... See more keywords