Analysing electricity consumption in South Africa using volatility forecasting models

OS Makobea - 2023 - repository.nwu.ac.za
The study explored the three-phase approach of SARIMA following the Box-Jenkins
methodology, GARCH, and hybrid SARIMA-GARCH models. These volatility forecasting …

Long-Term Modeling and Forecasting of the Load at a Substation in Lomé Zone A, Togo

KM Biramah, PK Chetangny, V Zogbochi… - 2023 International …, 2023 - ieeexplore.ieee.org
Developing an econometric model for estimating long-term electricity demand in Lomé Zone
A until 2023 is essential for effective energy planning, enabling optimized demand …

5G networks automatic performance improvement

J Mendoza Ruiz - 2023 - riuma.uma.es
This chapter provides an introduction to the work carried out during this thesis. First, in
Section 1.1 the motivation is presented, indicating how mobile networks optimization …

End‐to‐End Multi‐Domain and Multi‐Step Jamming Prediction in Wireless Communications

Z Su, N Qi, L Jia, J Chen, Y Liu, W Sun - Electronics Letters, 2021 - Wiley Online Library
In this letter, the problem of jamming data prediction in wireless communications is
investigated. Both time and frequency domains are considered to construct the multi‐domain …

Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression

G Siracusano, A La Corte - arXiv preprint arXiv:1907.10865, 2019 - arxiv.org
The concept of mobility prediction represents one of the key enablers for an efficient
management of future cellular networks, which tend to be progressively more elaborate and …

Selected methods for non-Gaussian data analysis

K Domino - arXiv preprint arXiv:1811.10486, 2018 - arxiv.org
The basic goal of computer engineering is the analysis of data. Such data are often large
data sets distributed according to various distribution models. In this manuscript we focus on …

Data-Driven Self-Management of Cellular Radio Access Networks.

C Gijón-Martín - 2023 - riuma.uma.es
Data-Driven Self-Management of Cellular Radio Access Networks Page 1 Universidad de
Málaga Escuela Técnica Superior de Ingenierıa de Telecomunicación Programa de …

[PDF][PDF] Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction.

B Yang, M Jiang, Y Chen, Q Meng, A Abraham - J. Comput., 2013 - isda.softcomputing.net
Accurate models play important roles in capturing the salient characteristics of the network
traffic, analyzing and simulating for the network dynamic, and improving the predictive ability …

Fine-grained network traffic prediction from coarse data

K Rusek, M Drton - arXiv preprint arXiv:2201.07179, 2022 - arxiv.org
ICT systems provide detailed information on computer network traffic. However, due to
storage limitations, some of the information on past traffic is often only retained in an …

Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach

B Mohammed, N Krishnaswamy… - … Journal of Big Data …, 2021 - inderscienceonline.com
Network traffic has been a critical issue that has attracted massive attention in network
operations research and the industry. This paper tackles the need to understand traffic …