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Fedwoa: A Federated Learning Model with the Whale Optimization Algorithm for Renewable Energy Prediction

https://doi.org/10.2139/ssrn.4671146
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What this work says

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

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Smart Grid Challenges Through the Lens of the European General Data Protection Regulation
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Bayesian Inference Federated Learning for Heart Rate Prediction
inferredcites →https://doi.org/10.1007/s00521-020-04849-zopenalex-extracted
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
inferredcites →https://doi.org/10.1007/s10207-022-00612-8openalex-extracted
DFTMicroagg: a dual-level anonymization algorithm for smart grid data
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-extracted
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.aej.2022.12.041openalex-extracted
A user-friendly attribute-based data access control scheme for smart grids
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inferredcites →https://doi.org/10.1016/j.apenergy.2022.119915openalex-extracted
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inferredcites →https://doi.org/10.1016/j.dibe.2020.100037openalex-extracted
Energy consumption prediction by using machine learning for smart building: Case study in Malaysia
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Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics
inferredcites →https://doi.org/10.1016/j.future.2020.12.003openalex-extracted
Privacy-preserving blockchain-based federated learning for traffic flow prediction
inferredcites →https://doi.org/10.1016/j.ijepes.2021.107669openalex-extracted
Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.ijepes.2023.109172openalex-extracted
FedForecast: A federated learning framework for short-term probabilistic individual load forecasting in smart grid
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Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
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Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach
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Cooperative Games Over Blockchain and Smart Contracts for Self-Sufficient Energy Communities
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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/iitsi.2010.74openalex-extracted
Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm
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FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
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Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework
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Scheduling Policies for Federated Learning in Wireless Networks
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Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
inferredcites →https://doi.org/10.1109/tevc.2015.2444793openalex-extracted
Average Convergence Rate of Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/tie.2022.3170641openalex-extracted
SCA-LFD: Side-Channel Analysis-Based Load Forecasting Disturbance in the Energy Internet
inferredcites →https://doi.org/10.1109/tits.2019.2892405openalex-extracted
A Survey on 3D Object Detection Methods for Autonomous Driving Applications
inferredcites →https://doi.org/10.1111/exsy.13138openalex-extracted
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Towards Federated Learning for HVAC Analytics
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COVID-19 detection using federated machine learning
inferredcites →https://doi.org/10.17775/cseejpes.2021.07350openalex-extracted
Personalized federated learning for individual consumer load forecasting
inferredcites →https://doi.org/10.2196/24207openalex-extracted
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
inferredcites →https://doi.org/10.3390/ai4030028openalex-extracted
Federated Learning for IoT Intrusion Detection
inferredcites →https://doi.org/10.3390/app12115346openalex-extracted
Hybrid Deep Neural Network Model for Multi-Step Energy Prediction of Prosumers
inferredcites →https://doi.org/10.3390/electronics12041034openalex-extracted
Federated Learning-Based Resource Management with Blockchain Trust Assurance in Smart IoT
inferredcites →https://doi.org/10.3390/math10234499openalex-extracted
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inferredcites →https://doi.org/10.3390/rs15123092openalex-extracted
Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images
inferredcites →https://doi.org/10.3390/s21238003openalex-extracted
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inferredcites →https://doi.org/10.3390/s22093264openalex-extracted
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inferredcites →https://doi.org/10.3390/s23104640openalex-extracted
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inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-extracted
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inferredcites →https://doi.org/10.48550/arxiv.2007.13518openalex-extracted
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inferred← citeshttps://doi.org/10.1007/s11227-026-08889-5openalex-snapshot
FedMetaOpt: a comprehensive survey of metaheuristic optimization for federated learning in client selection, resource allocation, and model aggregation
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