Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models

Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models

Abstract The Smart Grid operates autonomously, facilitating the smooth integration of diverse power generation sources into the grid, thereby ensuring a continuous, reliable, and high-quality supply of electricity to end users. One key focus within the realm of smart grid applications is the Home En...

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Bibliographic Details
Main Authors: Karan Kumar K, Mounica Nutakki, Suprabhath Koduru, Srihari Mandava
Format: Article
Language:English
Published: SpringerOpen 2024-05-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Smart grid
Energy management systems (EMS)
Load forecasting
Machine learning
Deep learning
Quantum support vector machine
Online Access:https://doi.org/10.1186/s13677-024-00669-x

Internet

https://doi.org/10.1186/s13677-024-00669-x

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