Long-term prediction intervals of economic time series
Sign Up to like & getrecommendations! Published in 2019 at "Empirical Economics"
DOI: 10.1007/s00181-019-01689-2
Abstract: We construct long-term prediction intervals for time-aggregated future values of univariate economic time series. We propose computational adjustments of the existing methods to improve coverage probability under a small sample constraint. A pseudo-out-of-sample evaluation shows… read more here.
Keywords: term prediction; economic time; prediction intervals; long term ... See more keywords
Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?
Sign Up to like & getrecommendations! Published in 2019 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2019.03.044
Abstract: BACKGROUND Suicide is one of the leading causes of death among adolescents, and developing effective methods to improve short-term prediction of suicidal thoughts and behaviors (STBs) is critical. Currently, the most robust predictors of STBs… read more here.
Keywords: risk; term; term prediction; technology ... See more keywords
Ultra-short-term prediction of photovoltaic output based on an LSTM-ARMA combined model driven by EEMD
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/5.0056980
Abstract: A new method is proposed for ultra-short-term prediction of photovoltaic (PV) output, based on an LSTM (long short-term memory)-ARMA (autoregressive moving average) combined model driven by ensemble empirical mode decomposition (EEMD) and aiming to reduce… read more here.
Keywords: ultra short; output; short term; term prediction ... See more keywords
Short-term prediction of intersection turning volume using seasonal ARIMA model
Sign Up to like & getrecommendations! Published in 2019 at "Transportation Letters"
DOI: 10.1080/19427867.2019.1645476
Abstract: ABSTRACT Accurate prediction of turning volumes at urban intersections is useful in Advanced Traffic Management Systems (ATMS). Existing studies on traffic flow prediction have mostly focused on midblock sections and only limited studies were undertaken… read more here.
Keywords: intersection; term prediction; model; turning volumes ... See more keywords
Short-term prediction through ordinal patterns
Sign Up to like & getrecommendations! Published in 2021 at "Royal Society Open Science"
DOI: 10.1098/rsos.201011
Abstract: Prediction in natural environments is a challenging task, and there is a lack of clarity around how a myopic organism can make short-term predictions given limited data availability and cognitive resources. In this context, we… read more here.
Keywords: term; patterns short; term prediction; ordinal patterns ... See more keywords
Long-Term Prediction of Significant Wave Height Based on SARIMA Model in the South China Sea and Adjacent Waters
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925107
Abstract: Nowadays, the world is facing the dual crisis of the energy and environment, and renewable energy, such as wave energy, can contribute to the improvement of the energy structure of the world, enhance energy supply… read more here.
Keywords: term prediction; wave energy; adjacent waters; long term ... See more keywords
ARPILC: An Approach for Short-Term Prediction of Freeway Entrance Flow
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938091
Abstract: In modern intelligent transportation systems, short-term prediction of freeway entrance flow plays an important role in providing travelers timely traffic conditions. Short-term prediction approaches are expected to be computation-efficient, operation-convenient, and able to forecast with… read more here.
Keywords: term prediction; freeway entrance; short term; prediction ... See more keywords
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3144395
Abstract: In time-series forecasting, it is an important task to make an accurate and interpretable long-term prediction. In this article, we present a novel approach developed from the perspective of granular computing (GrC) to realize the… read more here.
Keywords: term prediction; long term; time; time series ... See more keywords
Short-term prediction of NO2 and NOx concentrations using multilayer perceptron neural network: a case study of Tabriz, Iran
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Processes"
DOI: 10.1186/s13717-016-0069-x
Abstract: IntroductionDue to the health effects caused by airborne pollutants in urban areas, forecasting of air quality parameters is one of the most important topics of air quality research. During recent years, statistical models based on… read more here.
Keywords: network; term prediction; nox concentrations; prediction no2 ... See more keywords