[HTML][HTML] Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Hybrid structures in time series modeling and forecasting: A review

Z Hajirahimi, M Khashei - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …

Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering

R Yan, J Liao, J Yang, W Sun, M Nong, F Li - Expert Systems with …, 2021 - Elsevier
Effective air quality forecasting models are helpful for timely prevention and control of air
pollution. However, the spatiotemporal distribution characteristics of air quality have not …

Intelligent modeling strategies for forecasting air quality time series: A review

H Liu, G Yan, Z Duan, C Chen - Applied Soft Computing, 2021 - Elsevier
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …

A novel multiscale forecasting model for crude oil price time series

R Li, Y Hu, J Heng, X Chen - Technological Forecasting and Social …, 2021 - Elsevier
Forecasting crude oil prices is an essential research field in the international bulk
commodities market. However, price movements present more complex nonlinear behavior …

A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment

W Hou, X Wang, H Zhang, J Wang, L Li - Knowledge-Based Systems, 2020 - Elsevier
Credit risk assessment is usually regarded as an imbalanced classification task solved by
static ensemble classifiers. However, the dynamic ensemble selection (DES) strategy that …

Electricity cost comparison of dynamic pricing model based on load forecasting in home energy management system

X Zhao, W Gao, F Qian, J Ge - Energy, 2021 - Elsevier
To address the primary energy shortage problem, Japan has implemented a series of
policies and measures for residential energy conservation and emission reduction. Among …

A hybrid model of bald eagle search and relevance vector machine for dam safety monitoring using long-term temperature

X Yu, J Li, F Kang - Advanced Engineering Informatics, 2023 - Elsevier
Accurate simulation of temperature effect is a major challenge for computational (intelligent)
prediction models used for monitoring health of high concrete dams, especially in regions …

A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm

Z Wang, R Gao, P Wang, H Chen - Technological Forecasting and Social …, 2023 - Elsevier
Accurate forecasting of the air quality index (AQI) plays a crucial role in taking precautions
against upcoming air pollution risks. However, air quality may fluctuate greatly in a certain …

An attention-based Bayesian sequence to sequence model for short-term solar power generation prediction within decomposition-ensemble strategy

F Xiao, X Wang, W Hou, X Zhang, J Wang - Journal of Cleaner Production, 2023 - Elsevier
The utilization of renewable energy has attracted much attention with the deterioration of the
environment. Solar energy is widely distributed and has huge reserves. But, solar energy is …