标题:Long-term Forecasting with TiDE: Time-series Dense Encoder 链接:arxiv.org/abs/2304.0842 广告 动手学深度学习 (一本书带你了解chatgpt,跟上AI发展 京东 ¥42.50 去购买 一、模型介绍 1.1 前言 最近的工作表明,在长期时间序列预测中,简单的线性模型可以优于几种基于Transformer的方法。受此启发,文章...
2020年马普生物地球化学研究所气象站每10分钟采集21个气象指标的气象时间序列。 下载地址:mpi_roof_2020a.zip(2020年1-6月);mpi_roof_2020b.zip(2020年7-12月) Credit to Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting [Neurips 2022] Benchmark Result SCINet SCINet: Ti...
Teulings, 2013, Short and Long-term Forecasting by the Netherlands Bureau for Economic Policy Analysis (CPB): Science, Witchcraft or Practical Tool for ... COI Incomewealth 被引量: 8发表: 1955年 Forecasting health expenditures: short, medium, and long (long) term. As the forecasting perspecti...
Particularly, the capability of the BP model in forecasting when price reaches price caps is evidently enhanced. A detailed discussion on the choice of forecast models and forecast variables is reported. The suggested method has been used to forecast short term, medium, and long term prices in ...
So, the paper integrates different quantitative approaches to sketch long-term paper demand forecasts through different alternative scenarios. Findings – Results show that mobile telephones are complementary to both newsprint and magazine paper demand and the internet is a substitute, but these two ...
Long-term forecasting of large volcanic eruptions 来自 Semantic Scholar 喜欢 0 阅读量: 21 作者: A Palumbo 摘要: It is shown that the subareal volcanic system of the Earth evolves like individual volcanoes, preserving a constant average power. A simple model that allows the forecasting of ...
Long-term forecasting of wind speed has become a research hot spot in many different areas such as restructured electricity markets, energy management, and wind farm optimal design. However, wind energy with unstable and intermittent characteristics entails establishing accurate predicted data to avoid ...
5G cellular networks have recently fostered a wide range of emerging applications, but their popularity has led to traffic growth that far outpaces network expansion. This mismatch may decrease network quality and cause severe performance problems. To re
Research on Long Term Load Forecasting Based on Improved Genetic Neural Network Considering the features of long term load forecasting are complicated, this paper proposes a generic neural network model that is able to adapt to and lea... Y Shi,H Yang,Y Ding,... - Workshop on Computational...
Poulimenos, "Long-term sales forecasting using Holt-Winters and neural network methods," Journal of Forecasting, vol. 24, no. 5, pp. 353-368, Aug, 2005.Kotsialos A, Papageorgiou M, Poulimenos A. 2005. Long-term sales forecasting using Holt-Winters and neural network methods. Journal of...