Results 231 to 240 of about 3,518,669 (281)

Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting

IEEE International Conference on Data Engineering, 2023
In intelligent transportation systems, accurate long-term traffic forecasting is informative for administrators and travelers to make wise decisions in advance.
S. Guo, Youfang Lin, Letian Gong, Chenyu Wang, Zeyu Zhou, Zekai Shen, Yiheng Huang, Huaiyu Wan   +7 more
semanticscholar   +1 more source

SegRNN: Segment Recurrent Neural Network for Long-Term Time-Series Forecasting

IEEE Internet of Things Journal, 2023
With the proliferation of the Internet of Things (IoT) applications, advanced time-series forecasting techniques have become increasingly critical for managing and responding to complex temporal dynamics.
Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang   +5 more
semanticscholar   +1 more source

A systematic review for transformer-based long-term series forecasting

Artificial Intelligence Review, 2023
The emergence of deep learning has yielded noteworthy advancements in time series forecasting (TSF). Transformer architectures have witnessed broad utilization and adoption in TSF tasks.
Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang   +5 more
semanticscholar   +1 more source

Evaluating long term forecasts

Energy Economics, 2010
Abstract The U.S. Department of Energy's Energy Information Administration (EIA), and its predecessor organizations, has published projections of U.S. energy production, consumption, distribution and prices annually for over 30 years. A natural issue to raise in evaluating the projections is an assessment of their accuracy compared to eventual ...
openaire   +1 more source

Long-term forecasting of nitrogen dioxide ambient levels in metropolitan areas using the discrete-time Markov model

Environmental Modelling & Software, 2018
Air pollution management and control are key factors in maintaining sustainable societies. Air quality forecasting may significantly advance these tasks.
Asaf Nebenzal, B. Fishbain
semanticscholar   +1 more source

Long-term forecasting and evaluation

International Journal of Forecasting, 2007
Abstract Looking ahead thirty years is a difficult task, but is not impossible. In this paper we illustrate how to evaluate such long-term forecasts. Long-term forecasting is likely to be dominated by trend curves, particularly the simple linear and exponential trends.
Clive W.J. Granger, Yongil Jeon
openaire   +1 more source

Long-term solar generation forecasting

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2016
The rapid growth of solar Photovoltaic (PV) technology has been very visible over the past decade. Such increase in the integration of solar generation has brought attention to the forecasting issues. This paper presents a new approach to tackle the long-term forecasting challenge and accordingly reduce the uncertainty of the PV forecast, which would ...
Mohana Alanazi, Abdulaziz Alanazi, Amin Khodaei   +2 more
openaire   +1 more source

Long-Term Volatility Forecasting

SSRN Electronic Journal, 2012
A variety of historical-volatility, peer-historical-volatility, implied-volatility and blended estimators of stock price volatility are developed and tested for a group of large U.S. companies over roughly a thirty-year window. Longer-term historical estimators (up to fifteen years) are found to outperform shorter-term estimators as forecasts of five ...
openaire   +1 more source

Long-Term Ionospheric Forecasting System

2004
Abstract : Report developed under Small Business Innovative Research (SBIR) contract Topic AFO3-O16. The objective of this effort is to investigate the feasibility of an end-to-end global long-term (up to 3 days) ionospheric forecast model based on a fusion of several diverse technologies and to research the related probability density function (PDF ...
Jason Boisvert, Tim Fuller-Rowell, Michael Murphy, Boris Khattalov   +3 more
openaire   +1 more source

Long-term, solar flare fluence forecasting

Radiation Measurements, 1996
The problem of forecasting solar flare proton fluences is discussed and some projection techniques are proposed for long-duration space missions. The proton energy ranges considered are > 10 and > 30 MeV. Results of modeling the proton fluences are compared with available observational data.
I.V. Getselev, E.I. Morozova, A.R. Moszhukhina, N.F. Pisarenko, M.G. Polyanskaya, G.A. Timofeev   +5 more
openaire   +1 more source