A hybrid model based on the photovoltaic conversion model and artificial neural network model for short-term photovoltaic power forecasting

A hybrid model based on the photovoltaic conversion model and artificial neural network model for short-term photovoltaic power forecasting

Photovoltaic (PV) power is greatly uncertain due to the random meteorological parameters. Therefore, accurate PV power forecasting results are significant for the dispatching of power and improving of system stability. This paper proposes a hybrid forecasting model for one-day-ahead PV power forecas...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ran Chen, Shaowei Gao, Yao Zhao, Dongdong Li, Shunfu Lin
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Series:	Frontiers in Energy Research
Subjects:	artificial neural network hybrid model photovoltaic power forecasting photovoltaic conversion model short-term forecasting
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1446422/full
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net
by: Fengjun LI, et al.
Published: (2022-11-01)

Short-Term Photovoltaic Power Forecasting Based on an Improved Zebra Optimization Algorithm—Stochastic Configuration Network
by: Yonggang Wang, et al.
Published: (2025-05-01)

Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory
by: Lan Cao, et al.
Published: (2024-12-01)

Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-Term Photovoltaic Output Powers
by: Mao Yang, et al.
Published: (2025-01-01)

A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model
by: Ying Xu, et al.
Published: (2025-08-01)

Ultra-Short-Term Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling
by: Yubo Wang, et al.
Published: (2025-01-01)

Photovoltaic power forecasting: A Transformer based framework
by: Gabriele Piantadosi, et al.
Published: (2024-12-01)

Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting
by: Isidro Fraga-Hurtado, et al.
Published: (2025-06-01)

A short term multistep forecasting model for photovoltaic generation using deep learning model
by: Lakshmi P. Dinesh, et al.
Published: (2025-01-01)

Ultra-short-term Probabilistic Forecasting of Distributed Photovoltaic Power Generation Based on Hierarchical Correlation Modeling
by: Can CHEN, et al.
Published: (2024-12-01)

Interval Forecast of Photovoltaic Power Output Based on GAN
by: GU Yong-tao, et al.
Published: (2021-04-01)

Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model
by: Liwei Zhang, et al.
Published: (2025-06-01)

A Global Irradiance Prediction Model Using Convolutional Neural Networks, Wavelet Neural Networks, and Masked Multi-Head Attention Mechanism
by: Walid Mchara, et al.
Published: (2025-01-01)

Short-Term Photovoltaic Power Forecasting Using PV Data and Sky Images in an Auto Cross Modal Correlation Attention Multimodal Framework
by: Chen Pan, et al.
Published: (2024-12-01)

Imbalance Charge Reduction in the Italian Intra-Day Market Using Short-Term Forecasting of Photovoltaic Generation
by: Cristina Ventura, et al.
Published: (2025-08-01)

Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model
by: Shengli Wang, et al.
Published: (2025-01-01)

Big Data Techniques Applied to Forecast Photovoltaic Energy Demand in Spain
by: J. Tapia-García, et al.
Published: (2024-07-01)

Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting
by: Wenting Zhao, et al.
Published: (2025-06-01)

Short-Term Urban Water Demand Forecasting Using an Improved NeuralProphet Model
by: Yao Yao, et al.
Published: (2024-09-01)

Iterative Optimization and Economic Analysis of Photovoltaic Power Generation Forecasting under Haze Conditions
by: Wei CHEN, et al.
Published: (2021-10-01)

Ensemble Learning-Based Day-Ahead Power Forecasting of Distributed Photovoltaic Generation
by: Yijuan LIU, et al.
Published: (2022-09-01)

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid
by: Syed Muhammad Hasanat, et al.
Published: (2025-05-01)

Short-Term Prediction of the Solar Photovoltaic Power Output Using Nonlinear Autoregressive Exogenous Inputs and Artificial Neural Network Techniques Under Different Weather Conditions
by: Abdulrahman Th. Mohammad, et al.
Published: (2024-12-01)

Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism
by: Xuetao Jiang, et al.
Published: (2025-04-01)

Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption
by: Vukasin Klepic, et al.
Published: (2025-01-01)

Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets
by: Seongho Bak, et al.
Published: (2025-01-01)

DTCformer: A Temporal Convolution-Enhanced Autoformer with DILATE Loss for Photovoltaic Power Forecasting
by: Quanhui Qiu, et al.
Published: (2025-05-01)

Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model
by: Venkatachalam Mohanasundaram, et al.
Published: (2025-02-01)

An adaptive method for real‐time photovoltaic power forecasting utilizing mathematics and statistics: Case studies in Australia and Vietnam
by: Tuyen Nguyen‐Duc, et al.
Published: (2024-10-01)

Modeling And Circuit-based Simulation Of Photovoltaic Arrays
by: M. G. Villalva, et al.
Published: (2009-02-01)

Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting
by: Bruno Ferreira, et al.
Published: (2024-09-01)

Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01)

Short-term active power forecasting for wind farms using artificial neural networks
by: Thanh Hai Dinh, et al.
Published: (2025-03-01)

Short-Term Photovoltaic Power Prediction Based on Standard Clear Sky Set Defined by No Climbing Event
by: Hongwu GUO, et al.
Published: (2023-09-01)

Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers
by: Ekaterina Gospodinova, et al.
Published: (2025-05-01)

Distributed Photovoltaic Ultra-short-term Power Forecasting Method Based on Temporal Analog Matching Approach and Transformer Network Modeling
by: Pengwei YANG, et al.
Published: (2024-12-01)

XAI-Based Photovoltaic Energy Management Framework for Smart Cities
by: Malini Alagarsamy, et al.
Published: (2025-01-01)

Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks
by: Matrenin P.V., et al.
Published: (2020-09-01)

Sky images based photovoltaic power forecasting: A novel approach with optimized VMD and Vision Mamba
by: Chenhao Cai, et al.
Published: (2024-12-01)

Research on Power Consumption Data Prediction of Distributed Photovoltaic Power Station
by: Junfeng Yao, et al.
Published: (2024-12-01)