“Long-term forecasting and evaluation - Granger, JeonGranger, Clive and Jeon, Yongil: "Long-term forecasting and evaluation", International Journal of Forecasting, 23 (2007) 539-551.Granger, C.W.J., Jeon, Y., 2007. Long-term forecasting and evaluation. International Journal of Forecasting ...
1) linear mapping is critical to prior long-term time series forecasting efforts; 2) RevIN (reversible normalization) and CI (Channel Independent) play a vital role in improving overall forecasting performance; and 3) linear mapping can effectively capture periodic features in time series and has ...
Time series forecasting is often done "one step ahead" with statistical models or numerical machine learning algorithms. It is possible to extend those predictive models to a few steps ahead and iterate the predictions thus allowing further forecasting. However, it is not possible to do this for...
Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series When time series are generated by chaotic systems, a reasonable estimation of large prediction horizons is hard to obtain, but this may be required by some... R Fonseca-Delgado,P Gomez-Gil...
Therefore, in our analysis, to identify the effects of wakes on longer-term meteorological conditions at the SGP, we first consult a nine-day simulation of wind plant wakes using the state-of-the-art Weather Research and Forecasting (WRF) mesoscale model’s30 wind farm parameterization (WFP)31...
Mediumand long-termload;Chaostimeseries;phasespacereconstruction;supportvectorregression;kernelmethod; 中长期负荷预测;混沌时间序列;相空间重构;支持向量回归机;核策略; www.zidir.com 9. DevelopmentandApplicationofPowerSystem Mid-longTermLoadForecastingSoftware Package ...
Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data Article Open access 13 December 2021 Method for multi-task learning fusion network traffic classification to address small sample labels Article Open access 30 January 2024 Interrelationships between...
Time series forecasting plays an important role in many science and engineering fields, such as electricity consumption and weather conditions prediction. Recently, linear models have shown great performance in long-term time series forecasting, which even surpasses transfomer and its variants. However, ...
A variety of historical-volatility, peer-historical-volatility, implied-volatility and blended estimators of stock price volatility are developed and tested fordoi:10.2139/ssrn.2046192Nicholas ReitterSocial Science Electronic PublishingReitter, N. 2012. "Long-Term Volatility Forecasting." Working Paper, ...
Long-Term GHG Emission Scenarios for Asia-Pacific and the World Because the Asia-Pacific region has half of the world population and is experiencing very rapid economic growth, it is becoming more important in the globa... MY Matsuoka - 《Technological Forecasting & Social Change》 被引量: 60...