Power generation scheduling for a hydro-wind-solar hybrid system: A systematic survey and prospect

C Chen, H Liu, Y Xiao, F Zhu, L Ding, F Yang - Energies, 2022 - mdpi.com
In the past two decades, clean energy such as hydro, wind, and solar power has achieved
significant development under the “green recovery” global goal, and it may become the key …

Matrix-based wavelet transformation embedded in recurrent neural networks for wind speed prediction

C Yu, Y Li, Q Chen, X Lai, L Zhao - Applied Energy, 2022 - Elsevier
Accurate wind speed forecasts are essential for wind energy applications. It is challenging to
accurately anticipate wind speed because of its high volatility and non-stationarity. Although …

Application of neural network predictive control methods to solve the shipping container sway control problem in Quay cranes

S Jakovlev, T Eglynas, M Voznak - IEEE Access, 2021 - ieeexplore.ieee.org
Smart control systems are mostly applied in industry to control the movements of heavy
machinery while optimizing overall operational efficiency. Major shipping companies use …

Study of nonlinear models of oscillatory systems by applying an intelligent computational technique

NA Khan, FS Alshammari, CAT Romero, M Sulaiman - Entropy, 2021 - mdpi.com
In this paper, we have analyzed the mathematical model of various nonlinear oscillators
arising in different fields of engineering. Further, approximate solutions for different …

Wind speed forecasting using recurrent neural networks and long short term memory

FR Ningsih, EC Djamal… - 2019 6th International …, 2019 - ieeexplore.ieee.org
Wind is a natural phenomenon that plays an essential role in various aspects of human life,
including the spread of pests in plants. This variable is right for regions often hit by strong …

Solar location estimation using logsig based activation function using artificial neural network approach

FR Hashim, P Nagappan, MT Ishak… - Zulfaqar Journal …, 2021 - zulfaqarjdset.upnm.edu.my
Solar panel is one of the renewable energy that can reduce the environmental pollution and
have a wide potential of application. The exact solar prediction module will give a big impact …

Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks

IV Saputri, EC Djamal, F Nugraha… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Wind speed prediction is needed in various sectors, such as in industry. However, the
weather conditions change all the time, so it is not easy to predict. The wind that blows is …

One Day Ahead Prediction of PV Power Plant for Energy Management System Using Neural Network

A Priyadi, V Lystianingrum… - … International Seminar on …, 2020 - ieeexplore.ieee.org
One of the aims of this paper is to reduce electricity bills and provide added value to its
users, besides producing environmentally friendly and emissions-free electricity. Therefore …

A new method for finding the maximum point of the output power of a solar panel with multiple peaks

ID Sara - 2020 International Conference on Electrical …, 2020 - ieeexplore.ieee.org
Conventional techniques for finding the maximum point of the output power of a solar panel
such as artificial intelligence (AI), perturb and observe (P&O), incremental conductance (IC) …

Short-Term Wind Power Forecasting in East Java Using Gated Recurrent Unit

M Robith, RS Wibowo… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Wind power is one of Indonesia's renewable energy resources. One of the challenges in
using wind power is wind speed forecasting. An accurate wind speed forecasting can help …