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primary topic: Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks

Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks
type: AcademicArticle
type: Article
date: 2024
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

ICFTSS 2024 - International Conference on Future Technologies for Smart Society
type: Collection

Shingo Yamaguchi
type: Person
given name: Shingo
family name: Yamaguchi

Mohd Anuaruddin Bin Ahmadon
type: Person
given name: Mohd Anuaruddin Bin
family name: Ahmadon

Mohd Hafizuddin Bin Kamilin
type: Person
given name: Mohd Hafizuddin Bin
family name: Kamilin

HTML Summary of #20380 Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks
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primary topic: Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks