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Federated Learning with Hyperparameter-based Clustering for Electrical
  Load Forecasting

Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting

14 November 2021
Nastaran Gholizadeh
Petr Musílek
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting"

12 / 12 papers shown
Title
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning
Ratun Rahman
Pablo Moriano
Samee U. Khan
Dinh C. Nguyen
28
1
0
24 Feb 2025
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Muhammad Akbar Husnoo
Adnan Anwar
Md Enamul Haque
A. N. Mahmood
32
1
0
10 Jan 2025
Improving accuracy and convergence of federated learning edge computing
  methods for generalized DER forecasting applications in power grid
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
V. J. Nair
Lucas Pereira
AI4CE
20
0
0
13 Oct 2024
Exploring Lightweight Federated Learning for Distributed Load
  Forecasting
Exploring Lightweight Federated Learning for Distributed Load Forecasting
Abhishek Duttagupta
Jin Zhao
Shanker Shreejith
22
6
0
04 Apr 2024
Privacy-Preserving Distributed Learning for Residential Short-Term Load
  Forecasting
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
Yizhen Dong
Yingjie Wang
Mariana Gama
Mustafa A. Mustafa
Geert Deconinck
Xiaowei Huang
11
2
0
02 Feb 2024
FedWOA: A Federated Learning Model that uses the Whale Optimization
  Algorithm for Renewable Energy Prediction
FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction
Viorica Rozina Chifu
T. Cioara
Cristian Anitiei
Cristina Bianca Pop
I. Anghel
17
1
0
19 Sep 2023
CorrFL: Correlation-Based Neural Network Architecture for Unavailability
  Concerns in a Heterogeneous IoT Environment
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment
I. Shaer
Abdallah Shami
14
8
0
22 Jul 2023
Federated Learning with Uncertainty-Based Client Clustering for
  Fleet-Wide Fault Diagnosis
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Hao Lu
Adam Thelen
Olga Fink
Chao Hu
S. Laflamme
FedML
13
10
0
26 Apr 2023
Crossing Roads of Federated Learning and Smart Grids: Overview,
  Challenges, and Perspectives
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
Hafsa Bousbiat
Roumaysa Bousselidj
Yassine Himeur
Abbes Amira
F. Bensaali
F. Fadli
W. Mansoor
W. Elmenreich
11
8
0
17 Apr 2023
FedDiSC: A Computation-efficient Federated Learning Framework for Power
  Systems Disturbance and Cyber Attack Discrimination
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
FedML
11
18
0
07 Apr 2023
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy
  Providers
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
Muhammad Akbar Husnoo
A. Anwar
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
14
23
0
01 Mar 2022
A Fair and Efficient Hybrid Federated Learning Framework based on
  XGBoost for Distributed Power Prediction
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
Haizhou Liu
Xuan Zhang
Xinwei Shen
Hongbin Sun
FedML
16
6
0
08 Jan 2022
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