Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short …

C Zhang, C Ji, L Hua, H Ma, MS Nazir, T Peng - Renewable Energy, 2022 - Elsevier
Wind energy, as clean energy, has attracted more and more attention. Wind power
generation is easily threatened by the irregular fluctuation of wind speed, which interferes …

LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method

Y Dai, Y Wang, M Leng, X Yang, Q Zhou - Energy, 2022 - Elsevier
Accurate prediction of photovoltaic power generation is vital to guarantee smooth operation
of power stations and ensure users' electricity consumption. As a good forecasting tool …

Fraud detection in publicly traded US firms using Beetle Antennae Search: A machine learning approach

AT Khan, X Cao, S Li, VN Katsikis, I Brajevic… - Expert Systems with …, 2022 - Elsevier
In this paper, we present a fraud detection framework for publicly traded firms using an
optimization approach integrated with a meta-heuristic algorithm known as Beetle Antennae …

Approximation of daily solar radiation: A comprehensive review on employing of regression models

AH Mirzabe, A Hajiahmad, A Keyhani… - Renewable Energy …, 2022 - Elsevier
Highlights•A comprehensive collection of all global solar radiation models is
provided.•Instead of emphasizing specific models, all different model formats are …

A new long-term photovoltaic power forecasting model based on stacking generalization methodology

E Ofori-Ntow Jnr, YY Ziggah, MJ Rodrigues… - Natural Resources …, 2022 - Springer
In recent times, solar energy has become a highly promising source of energy and one of
the most regular types of sustainable energy. Forecasting the availability of solar energy has …

Enhancing photovoltaic system modeling and control under partial and complex shading conditions using a robust hybrid DE-FFNN MPPT strategy

N Ncir, N El Akchioui, A El Fathi - Renewable Energy Focus, 2023 - Elsevier
Improving efficiency, reliability, and extending the life of Photovoltaic (PV) systems are some
essential benefits of developing an effective Maximum Power Point Tracking (MPPT) control …

[HTML][HTML] Multitasking recurrent neural network for photovoltaic power generation prediction

H Song, N Al Khafaf, A Kamoona, SS Sajjadi… - Energy Reports, 2023 - Elsevier
With the increased uptake of renewable energy resources (RES), power generation from
Photovoltaics (PV) cells is gaining momentum and heavily depends on environmental and …

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features

MG Zamani, MR Nikoo, G Al-Rawas, R Nazari… - Journal of …, 2024 - Elsevier
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …

A combination of novel hybrid deep learning model and quantile regression for short‐term deterministic and probabilistic PV maximum power forecasting

ND Tuyen, NT Thanh, VXS Huu… - IET Renewable Power …, 2023 - Wiley Online Library
Recently, the increasing penetration of renewable energy resources in power system,
especially photovoltaic (PV) systems, has caused severe technical issues due to its …

A hybrid model of CNN and LSTM autoencoder-based short-term PV power generation forecasting

MS Ibrahim, SM Gharghory, HA Kamal - Electrical Engineering, 2024 - Springer
Solar energy is one of the main renewable energies available to fulfill global clean energy
targets. The main issue of solar energy like other renewable energies is its randomness and …