Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net

Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net

The high-precision prediction of distributed photovoltaic power generation is of great significance to the safe and stable operation of the distribution network. In this paper, based on weather information and depth learning method, a short-term power prediction method for distributed photovoltaic p...

Full description

Saved in:

Bibliographic Details
Main Authors:	Fengjun LI, Lei WANG, Jian ZHAO, Jianbin ZHANG, Shiyao ZHANG, Yangyang TIAN
Format:	Article
Language:	zho
Published:	State Grid Energy Research Institute 2022-11-01
Series:	Zhongguo dianli
Subjects:	distributed photovoltaic photovoltaic power generation forecast deep learning short-term forecasting
Online Access:	https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104057
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A hybrid model based on the photovoltaic conversion model and artificial neural network model for short-term photovoltaic power forecasting
by: Ran Chen, 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)

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)

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

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 Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling
by: Yubo Wang, 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)

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

Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon
by: Abhishu Oza, et al.
Published: (2025-01-01)

Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM
by: Qingquan Lv, et al.
Published: (2025-06-01)

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

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)

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

Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements
by: Nur Faid Prasetyo, et al.
Published: (2025-05-01)

Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion
by: Junwei Ma, et al.
Published: (2025-01-01)

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

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)

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

Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
by: Dingtong Wang, et al.
Published: (2024-09-01)

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)

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

EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module
by: Guangxin He, et al.
Published: (2025-03-01)

Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization
by: Shuai Wu, et al.
Published: (2025-05-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

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

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

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)

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

An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network
by: Xiaofeng Yang, et al.
Published: (2025-01-01)

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 Power Load Prediction Method Based on VMD and EDE-BiLSTM
by: Yibo Lai, et al.
Published: (2025-01-01)

Short-term Power Prediction of Photovoltaic Power Generation Based on LSTM and Error Correction
by: ZHU Tao, et al.
Published: (2025-04-01)

Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
by: Bingbing Tang, et al.
Published: (2024-12-01)

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting
by: Jaeuk Moon, et al.
Published: (2020-01-01)

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01)

A Grid-based Numerical Weather Prediction Method for Multi-output Prediction of Regional Photovoltaic Power
by: Wenhua ZHAN, et al.
Published: (2024-03-01)

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

The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach
by: Seyda Ozdemir, et al.
Published: (2025-01-01)