On the public citation graph

Novel PV Power Hybrid Prediction Model Based on FL Co-Training Method

0 signed · 34 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pip.1033openalex-snapshot
Regional PV power prediction for improved grid integration
inferredcites →https://doi.org/10.1007/s00521-016-2310-zopenalex-snapshot
Day-ahead forecasting of solar photovoltaic output power using multilayer perceptron
inferredcites →https://doi.org/10.1007/s00521-017-3225-zopenalex-snapshot
Accurate photovoltaic power forecasting models using deep LSTM-RNN
inferredcites →https://doi.org/10.1016/j.enconman.2017.11.019openalex-snapshot
Solar photovoltaic generation forecasting methods: A review
inferredcites →https://doi.org/10.1016/j.energy.2019.116225openalex-snapshot
Photovoltaic power forecasting based LSTM-Convolutional Network
inferredcites →https://doi.org/10.1016/j.jclepro.2022.134979openalex-snapshot
A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction
inferredcites →https://doi.org/10.1016/j.renene.2021.02.166openalex-snapshot
Deep learning neural networks for short-term photovoltaic power forecasting
inferredcites →https://doi.org/10.1016/j.solener.2018.02.011openalex-snapshot
Operational photovoltaics power forecasting using seasonal time series ensemble
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1109/jiot.2019.2956615openalex-snapshot
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT
inferredcites →https://doi.org/10.1109/jiot.2020.2987958openalex-snapshot
Privacy-Preserving Federated Learning in Fog Computing
inferredcites →https://doi.org/10.1109/scems48876.2020.9352398openalex-snapshot
A Hybrid Photovoltaic Power Prediction Model Based on Multi-source Data Fusion and Deep Learning
inferredcites →https://doi.org/10.1109/tie.2006.881997openalex-snapshot
Overview of Control and Grid Synchronization for Distributed Power Generation Systems
inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot
LSTM: A Search Space Odyssey
inferredcites →https://doi.org/10.1109/tste.2021.3065117openalex-snapshot
Privacy-Preserving Distributed Learning for Renewable Energy Forecasting
inferredcites →https://doi.org/10.1145/3339474openalex-snapshot
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data
inferredcites →https://doi.org/10.2196/medinform.7744openalex-snapshot
Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
inferredcites →https://doi.org/10.23919/wac55640.2022.9934384openalex-snapshot
A 3D Design of Small Hybrid Farm for Microgrids
inferredcites →https://doi.org/10.3390/app10020487openalex-snapshot
Advanced Methods for Photovoltaic Output Power Forecasting: A Review
inferredcites →https://doi.org/10.3390/en10070876openalex-snapshot
SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions
inferredcites →https://doi.org/10.3390/en11102725openalex-snapshot
Extreme Learning Machines for Solar Photovoltaic Power Predictions
inferredcites →https://doi.org/10.3390/en13133493openalex-snapshot
Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network
inferredcites →https://doi.org/10.3390/su14127296openalex-snapshot
Techno-Economic Analysis and Optimization of an Off-Grid Hybrid Photovoltaic–Diesel–Battery System: Effect of Solar Tracker
inferredcites →https://doi.org/10.3390/su141811523openalex-snapshot
Thermal Management of Solar Photovoltaic Cell by Using Single Walled Carbon Nanotube (SWCNT)/Water: Numerical Simulation and Sensitivity Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4811404openalex-extracted
Distributed Photovoltaic Short-Term Power Prediction Based on Meteorological Resource Clustering and Federated Learning
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100375openalex-snapshot
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100438openalex-snapshot
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
inferred← citeshttps://doi.org/10.1016/j.solener.2024.112942openalex-snapshot
Federated learning for solar energy applications: A case study on real-time fault detection
inferred← citeshttps://doi.org/10.1080/15567036.2025.2552343openalex-snapshot
Improved solar energy forecasting using BiLSTM-driven GAN with transformed neural network
inferred← citeshttps://doi.org/10.1088/2631-8695/ae5875openalex-snapshot
Weak supervised learning survey for time series data: contemporary approaches, unresolved challenges, and prospective research avenues
inferred← citeshttps://doi.org/10.1109/flta67013.2025.11336398openalex-snapshot
Strategies to Improve Federated Forecasts of Day-Ahead PV Power Production
inferred← citeshttps://doi.org/10.1186/s13677-026-00911-8openalex-snapshot
A differential privacy-based personalized federated learning research on photovoltaic power prediction in cloud-edge computing environments
inferred← citeshttps://doi.org/10.3390/electronics12102239openalex-snapshot
An Accelerator for Semi-Supervised Classification with Granulation Selection
inferred← citeshttps://doi.org/10.3390/fi17070308openalex-snapshot
A Review of Research on Secure Aggregation for Federated Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.