Hybridization of hybrid structures for time series forecasting: A review

Z Hajirahimi, M Khashei - Artificial Intelligence Review, 2023 - Springer
Achieving the desired accuracy in time series forecasting has become a binding domain,
and developing a forecasting framework with a high degree of accuracy is one of the most …

A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management

L Zhao, MS Nazir, HMJ Nazir, AN Abdalla - Environmental Science and …, 2022 - Springer
Energy is the source of economic growth, and energy consumption indicates the country's
state of development. Energy engineering is a relatively new technical discipline. It is …

Election Algorithm for Random k Satisfiability in the Hopfield Neural Network

S Sathasivam, MA Mansor, MSM Kasihmuddin… - Processes, 2020 - mdpi.com
Election Algorithm (EA) is a novel variant of the socio-political metaheuristic algorithm,
inspired by the presidential election model conducted globally. In this research, we will …

An Improved Particle Swarm Optimization and Adaptive Neuro‐Fuzzy Inference System for Predicting the Energy Consumption of University Residence

S Oladipo, Y Sun, O Adeleke - International Transactions on …, 2023 - Wiley Online Library
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …

Remaining useful life prediction using hybrid neural network and genetic algorithm approaches

N Kumari, R Kumar, AR Mohanty… - … on Maintenance and …, 2021 - ieeexplore.ieee.org
Recently, numerous approaches have been applied for predicting the RUL of machinery
based on condition information. Artificial Intelligence (AI) methods such as Long Short-Term …

Artificial Neural Network Process Optimization for Predicting the Thermal Properties of Biomass: Recent Advances and Future Challenges

S Dayana Priyadharshini… - … of Electronic Waste, 2024 - Wiley Online Library
Biomass is one of the alternative energy sources that is most plentiful and dependable.
Hence, comprehensive knowledge of its inherent potential is imperative to investigate the …

[PDF][PDF] Research Article An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University …

S Oladipo, Y Sun, O Adeleke - 2023 - academia.edu
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro• fuzzy inference …

[PDF][PDF] Metaheuristic-Based Support Vector Machines for Exchange Rate Forecasting

S Behera - 2024 - ijresonline.com
Given the dynamic and complex landscape of financial markets, accurately predicting
financial time series presents considerable hurdles. This research explores the utilization of …