Electrical load forecasting in power systems based on quantum computing using time series-based quantum artificial intelligence

Electrical load forecasting in power systems based on quantum computing using time series-based quantum artificial intelligence

Abstract A proper, reliable, and economic operation of a power system relies on a precise energy management strategy. For a reliable energy management strategy, information about the power system including power production and power consumption is required. However, consumer behaviour can be unpredi...

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Bibliographic Details
Main Authors: Mohammad Reza Habibi, Saeed Golestan, Yanpeng Wu, Josep M. Guerrero, Juan C. Vasquez
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Quantum computing
Load forecasting
Artificial intelligence
Artificial neural networks
Smart grid
Residential load
Online Access:https://doi.org/10.1038/s41598-025-89933-x
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https://doi.org/10.1038/s41598-025-89933-x

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