Improving short-term photovoltaic power forecasting with an evolving neural network incorporating time-varying filtering based on empirical mode decomposition
M Ghodbane, N El-Amarty, B Boumeddane… - Energy Conversion and …, 2025 - Elsevier
Accurately forecasting photovoltaic power generation is essential for the efficient integration
of renewable energy into power grids. This paper presents a novel, high-accuracy …
of renewable energy into power grids. This paper presents a novel, high-accuracy …
Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm
L Wencheng, M Zhizhong - Computers and Electrical Engineering, 2024 - Elsevier
Accurate and timely photovoltaic (PV) power forecasting is crucial for the stable operation of
power systems. To address the issue of sparse PV power data on rainy days, this paper …
power systems. To address the issue of sparse PV power data on rainy days, this paper …
[HTML][HTML] Sky images based photovoltaic power forecasting: A novel approach with optimized VMD and Vision Mamba
C Cai, L Zhang, J Zhou, L Zhou - Results in Engineering, 2024 - Elsevier
As the global demand for sustainable energy sources continues to grow, accurate prediction
of photovoltaic power generation is crucial for optimizing the utilization of solar resources …
of photovoltaic power generation is crucial for optimizing the utilization of solar resources …
Explainable AI and optimized solar power generation forecasting model based on environmental conditions
This paper proposes a model called X-LSTM-EO, which integrates explainable artificial
intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably …
intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably …
Microgrid economic dispatch using Information-Enhanced Deep Reinforcement Learning with consideration of control periods
WC Liu, ZZ Mao - Electric Power Systems Research, 2025 - Elsevier
Deep reinforcement learning (DRL) methods for microgrid economic dispatch often suffer
from reduced decision accuracy due to environmental changes within control periods. To …
from reduced decision accuracy due to environmental changes within control periods. To …
[HTML][HTML] Multi 2D-CNN-based model for short-term PV power forecast embedded with Laplacian Attention
Amid the bloom of Renewable energy (RE) integrated into the grid, an accurate Photovoltaic
(PV) power forecast is considered to be a crucial task in maintaining the reliability and …
(PV) power forecast is considered to be a crucial task in maintaining the reliability and …
Multimode residual monitoring of particle concentration in flue gas from Fluid Catalytic Cracking regenerator
C Zhu, N Liu, M Zhang, Z Li, Y Li, X Shi… - Control Engineering …, 2025 - Elsevier
The reactor-regenerator system Fluid Catalytic Cracking (FCC) highly relies on stable
catalyst cycling. However, the FCC unit usually operates in multiple modes to accommodate …
catalyst cycling. However, the FCC unit usually operates in multiple modes to accommodate …
Short-term photovoltaic power prediction based on RF-SGMD-GWO-BiLSTM hybrid models
S Yang, Y Luo - Energy, 2025 - Elsevier
Accurate photovoltaic (PV) power prediction can support optimal scheduling and decision-
making in energy systems. An innovative hybrid prediction model efficiently predicts …
making in energy systems. An innovative hybrid prediction model efficiently predicts …
[HTML][HTML] Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning
The integration of photovoltaic (PV) power into electrical grids introduces significant
uncertainty due to the inherent volatility and intermittency of solar energy, underscoring the …
uncertainty due to the inherent volatility and intermittency of solar energy, underscoring the …
[HTML][HTML] A Deep Learning-Based Dual-Scale Hybrid Model for Ultra-Short-Term Photovoltaic Power Forecasting
Y Zhang, X Ren, F Zhang, Y Liu, J Li - Sustainability, 2024 - mdpi.com
Ultra-short-term photovoltaic (PV) power forecasting is crucial in the scheduling and
functioning of contemporary electrical systems, playing a key role in promoting renewable …
functioning of contemporary electrical systems, playing a key role in promoting renewable …