Forecasting of automobile sales based on support vector regression optimized by the grey wolf optimizer algorithm

F Qu, YT Wang, WH Hou, XY Zhou, XK Wang, JB Li… - Mathematics, 2022 - mdpi.com
With the development of the Internet and big data, more and more consumer behavior data
are used in different forecasting problems, which greatly improve the performance of …

Evaluation of forecasting models for improved passenger market management and rolling stock planning on Indian railways

V Bhatia, K Kalaivani - foresight, 2024 - emerald.com
Purpose Indian railways (IR) is one of the largest railway networks in the world. As a part of
its strategic development initiative, demand forecasting can be one of the indispensable …

Neural computing improvement using four metaheuristic optimizers in bearing capacity analysis of footings settled on two-layer soils

H Moayedi, DT Bui, PT Thi Ngo - Applied Sciences, 2019 - mdpi.com
This study outlines the applicability of four metaheuristic algorithms, namely, whale
optimization algorithm (WOA), league champion optimization (LCA), moth–flame …

Impact of Large-Scale Electric Vehicles' Promotion in Thailand Considering Energy Mix, Peak Load, and Greenhouse Gas Emissions

A Paudel, W Pinthurat, B Marungsri - Smart Cities, 2023 - mdpi.com
Thailand's policies are in accord with the global drive to electrify transportation vehicle fleets
due to climate concerns. This dedication is evident through its adoption of the 30@ 30 …

Assessing and Forecasting the Long-Term Impact of the Global Financial Crisis on New Car Sales in South Africa

T Makoni, D Chikobvu - Data, 2023 - mdpi.com
In both developed and developing nations, with South Africa (SA) being one of the latter, the
motor vehicle industry is one of the most important sectors. The SA automobile industry was …

Multi-fractal detrended cross-correlation heatmaps for time series analysis

PR de Melo Barros Junior, KL Bunge… - Scientific Reports, 2022 - nature.com
Complex systems in biology, climatology, medicine, and economy hold emergent properties
such as non-linearity, adaptation, and self-organization. These emergent attributes can …

Forecasting the number of vehicles in Indonesia using auto regressive integrative moving average (ARIMA) method

EA Irhami, F Farizal - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The number of vehicles in Indonesia increases significantly from year to year. This has an
impact on various aspects such as traffic jams, air pollution, traffic accidents etc. The …

Analysis and forecasting of sales funnels

E Griva, I Butorina, A Sidorov, P Senchenko - Mathematics, 2022 - mdpi.com
This article discusses the use of analysis and forecasting methods for sales funnels to help
further decision-making. A number of objective and subjective factors preventing the wide …

Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model

NF Aurna, MTM Rubel, TA Siddiqui… - TELKOMNIKA …, 2021 - telkomnika.uad.ac.id
With the increasing demand of energy, the energy production is not that much sufficient and
that's why it has become an important issue to make accurate prediction of energy …

Net zero performance evaluation of European Continent Countries considering Paris Agreement climate goals

M Dursun, RD Alkurt - Kybernetes, 2024 - emerald.com
Purpose Today's one of the most important difficulties is tackling climate change and its
effects on the environment. The Paris Agreement states that nations must balance the …