Results 1 to 10 of about 117,466 (115)

Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation

Entropy, 2023
The demand for complex equipment aftermarket parts is mostly sporadic, showing typical intermittent characteristics as a whole, resulting in the evolution law of a single demand series having insufficient information, which restricts the prediction ...
Lilin Fan, Xia Liu, Wentao Mao, Kai Yang, Zhaoyu Song   +4 more
doaj   +3 more sources

Event-preserving feature engineering for intermittent demand forecasting using SHOS [PDF]

Scientific Reports
Intermittent demand forecasting remains a persistent challenge in large-scale supply chains due to extreme sparsity, irregular demand occurrence, and highly variable demand magnitudes.
B. Sendhil Nathan, Veera Siva Reddy B, C. Chandrasekhara Sastry, Sachin Salunkhe, Robert Cep   +4 more
doaj   +2 more sources

Primacy of feature engineering over architectural complexity for intermittent demand forecasting [PDF]

Scientific Reports
Intermittent demand forecasting remains a fundamental challenge in large-scale supply chains due to extreme demand sparsity, irregular occurrence patterns, and highly variable demand magnitudes.
B. Sendhil Nathan, P. M. Aravinth, B. Veera Siva Reddy, C. Chandrasekhara Sastry, Sachin Salunkhe, Robert Cep   +5 more
doaj   +2 more sources

Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization

Sensors, 2023
Demand for spare parts, which is triggered by element failure, project schedule and reliability demand, etc., is a kind of sensing data to the aftermarket service of large manufacturing enterprises.
Kairong Hong, Yingying Ren, Fengyuan Li, Wentao Mao, Xiang Gao   +4 more
doaj   +1 more source

Long-term forecasting of hourly retail customer flow on intermittent time series with multiple seasonality

Data Science and Management, 2022
In this study, we address a demanding time series forecasting problem that deals simultaneously with the following: (1) intermittent time series, (2) multi-step ahead forecasting, (3) time series with multiple seasonal periods, and (4) performance ...
Martim Sousa, Ana Maria Tomé, José Moreira   +2 more
doaj   +1 more source

Analysis of common methods for intermittent renewable energy consumption assessment

电力工程技术, 2022
With the improvement of China's energy demand and environmental protection awareness,the installed capacity of green energy represented by intermittent renewable energy such as wind power and photovoltaics is visible in the upward trend.
LI Jiantao, LI Yongguang, ZHU Boxu, MA Xinxia   +3 more
doaj   +1 more source

Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes.

PLoS ONE, 2021
Intermittency are a common and challenging problem in demand forecasting. We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing ...
Ali Caner Türkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil   +3 more
doaj   +1 more source

Extracting Correlations in Earthquake Time Series Using Visibility Graph Analysis

Frontiers in Physics, 2021
Recent observation studies have revealed that earthquakes are classified into several different categories. Each category might be characterized by the unique statistical feature in the time series, but the present understanding is still limited due to ...
Sumanta Kundu, Anca Opris, Yohei Yukutake, Takahiro Hatano   +3 more
doaj   +1 more source

Adaptive Interval Prediction of Intermittent Series Based on Tensor Representation [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
In the actual business, parts demand occured randomly and demand fluctuates, so the demand sequence for spare parts showed obvious intermittent distribution.
MAO Wentao, ZHANG Yanna, GAO Xiang, SONG Zhaoyu, LUO Tiejun   +4 more
doaj   +1 more source

Intermittency and multifractional Brownian character of geomagnetic time series [PDF]

Nonlinear Processes in Geophysics, 2013
The Earth's magnetosphere exhibits a complex behavior in response to the solar wind conditions. This behavior, which is described in terms of mutifractional Brownian motions, could be the consequence of the occurrence of dynamical phase transitions.
G. Consolini, R. De Marco, P. De Michelis   +2 more
doaj   +1 more source