|
|
|
|
|
Jiao Liu, Guoyou Shi and Kaige Zhu
To improve the overall accuracy of tidal forecasting and ameliorate the low accuracy of single harmonic analysis, this paper proposes a combined tidal forecasting model based on harmonic analysis and autoregressive integrated moving average?support vecto...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Carta, Andrea Medda, Alessio Pili, Diego Reforgiato Recupero and Roberto Saia
E-commerce is becoming more and more the main instrument for selling goods to the mass market. This led to a growing interest in algorithms and techniques able to predict products future prices, since they allow us to define smart systems able to improve...
ver más
|
|
|
|
|
|
|
|
|
|
|
Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammed Monjurul Quadir
Pág. 480 - 487
This article investigates the effects of macroeconomic variables of treasury bill interest rate and industrial production on stock returns on Dhaka Stock Exchange for the period between January 2000 and February 2007 on the basis of monthly time series d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
ver más
|
|
|
|
|
|
|
|
|
|
|
V. S. Giorgashvili,M. A. Bakaev
Pág. 12 - 20
The problem of incomplete data is quite typical in sociological, economics or statistical studies that employ online data. The possible reasons for the incompleteness are: errors and changes at the data source websites, failures and errors in the instrum...
ver más
|
|
|
|
|
|
|
|
|
|
|
Erasmo Cadenas, Wilfrido Rivera, Rafael Campos-Amezcua and Christopher Heard
Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA). This method?s performance is well studied for a large number of prediction problems. The othe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Achite, Ommolbanin Bazrafshan, Zahra Azhdari, Andrzej Walega, Nir Krakauer and Tommaso Caloiero
Water resources have always been a major concern, particularly in arid and semiarid parts of the world. Low precipitation and its uneven distribution in Algeria, along with fast population and agriculture activity increase and, particularly, recent droug...
ver más
|
|
|
|
|
|
|
|
|
|
|
Renata Graf
The paper investigates the distribution properties of measurement series of river water temperatures for the lowland River Notec and its tributaries (Western Poland), as well as air temperatures at different data time resolution levels (1987?2013). The a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Renata Graf
The paper investigates the distribution properties of measurement series of river water temperatures for the lowland River Notec and its tributaries (Western Poland), as well as air temperatures at different data time resolution levels (1987?2013). The a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuo Wang, Liaojun Zhang and Guojiang Yin
Research on the vibration response prediction and safety early warning is of great significance to the operation and management of pumping station engineering. In the current research, a hybrid prediction method was proposed to predict vibration response...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Iago Richard Rodrigues, Djamel Sadok, Theo Lynn and Patricia Takako Endo
To minimise environmental impact, to avoid regulatory penalties, and to improve competitiveness, energy-intensive manufacturing firms require accurate forecasts of their energy consumption so that precautionary and mitigation measures can be taken. Deep ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Edmore Ranganai, Mphiliseni B Nzuza
Extra-terrestrially, there is no stochasticity in the solar irradiance, hence deterministic models are often used to model this data. At ground level, the Box-Jenkins Seasonal/Non-seasonal Autoregressive Integrated Moving Average (S/ARIMA) short memory s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abas Omar Mohamed
The study investigated the empirical role of past values of Somalia?s GDP growth rates in its future realizations. Using the Box?Jenkins modeling method, the study utilized 250 in-sample quarterly time series data to forecast out-of-the-sample Somali GDP...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Korrakoch Taweesin, Uma Seeboonruang and Phayom Saraphirom
This research studies the relationship between the climate index and the groundwater level of the lower Chao Phraya basin, in order to forecast the groundwater level in the studied area by using Autoregressive Integrated Moving Average with Explanatory (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Korrakoch Taweesin, Uma Seeboonruang and Phayom Saraphirom
This research studies the relationship between the climate index and the groundwater level of the lower Chao Phraya basin, in order to forecast the groundwater level in the studied area by using Autoregressive Integrated Moving Average with Explanatory (...
ver más
|
|
|
|
|
|
|
|
|
|
|
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul
Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
ver más
|
|
|
|
|
|