Solar irradiance forecasting using dynamic ensemble selection

DS de O. Santos Jr, PSG de Mattos Neto… - Applied Sciences, 2022 - mdpi.com
Solar irradiance forecasting has been an essential topic in renewable energy generation.
Forecasting is an important task because it can improve the planning and operation of …

[HTML][HTML] A novel governing equation for shale gas production prediction via physics-informed neural networks

H Wang, M Wang, S Chen, G Hui, Y Pang - Expert Systems with …, 2024 - Elsevier
Shale gas has become increasingly important due to the high demand for energy worldwide.
Therefore, accurate and fast production forecasting is of paramount importance, and decline …

Predicting thermoelectric power plants diesel/heavy fuel oil engine fuel consumption using univariate forecasting and XGBoost machine learning models

EA Siqueira-Filho, MFA Lira, A Converti, HV Siqueira… - Energies, 2023 - mdpi.com
Monitoring and controlling thermoelectric power plants (TPPs) operational parameters have
become essential to ensure system reliability, especially in emergencies. Due to system …

[HTML][HTML] Linear Ensembles for WTI Oil Price Forecasting

JLF Santos, AJC Vaz, YR Kachba, SL Stevan Jr… - Energies, 2024 - mdpi.com
This paper investigated the use of linear models to forecast crude oil futures prices (WTI) on
a monthly basis, emphasizing their importance for financial markets and the global …

Bio-Inspired Multi-Objective Algorithms Applied on the Optimization of the AODV's Routing Recovery Mechanism

C Santana, M Macedo, E Alves, MT Guerreiro… - IEEE …, 2023 - ieeexplore.ieee.org
Advances in electronic systems, wireless communication protocols, and intelligent devices
allowed the development of networks of mobile devices such as cars, drones, and robots …

Multivariate and hybrid data-driven models to predict thermoelectric power plants fuel consumption

EA Siqueira-Filho, MFA Lira, HV Siqueira… - Expert Systems with …, 2024 - Elsevier
Ensuring the reliable operation of diesel/Heavy fuel oil (HFO) engines in Thermoelectric
Power Plants (TPPs) requires constant monitoring and control of operational parameters …

Swarm-inspired algorithms to optimize a nonlinear gaussian adaptive PID controller

EDP Puchta, P Bassetto, LH Biuk, MA Itaborahy Filho… - Energies, 2021 - mdpi.com
This work deals with metaheuristic optimization algorithms to derive the best parameters for
the Gaussian Adaptive PID controller. This controller represents a multimodal problem …

Optimizing BiLSTM network attack prediction based on improved gray wolf algorithm

S Qiu, Y Wang, Y Lv, F Chen, J Zhao - Applied Sciences, 2023 - mdpi.com
Aiming at the problems of low accuracy of network attack prediction and long response time
of attack detection, bidirectional long short-term memory (BiLSTM) was used to predict …

Metaheuristics-based optimization of a robust GAPID adaptive control applied to a DC motor-driven rotating beam with variable load

FG Borges, M Guerreiro, PES Monteiro, FC Janzen… - Sensors, 2022 - mdpi.com
This work aims to analyze two metaheuristics optimization techniques, Genetic Algorithm
(GA) and Particle Swarm Optimization (PSO), with six variations each, and compare them …

Climate indices impact in monthly streamflow series forecasting

JF De Toledo, HV Siqueira, LH Biuk, R Sacchi… - IEEE …, 2023 - ieeexplore.ieee.org
Hydroelectricity has been widely deployed in many countries for decades, and remains the
main source of electricity in Canada, Norway, and Brazil. Despite the recent diversification …