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Electrical Load Forecasting Using Ant Algorithm With Short Forecast Time

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Observational analysis reveals trends in electricity consumption in Indonesia, highlighting planning needs for power systems.

Electrical load forecasting can effectively anticipate future electricity needs, improving system reliability.
The average electricity consumption in Indonesia is rising steadily, with significant annual increases.
Utilizing ant algorithms, this forecasting method addresses environmental uncertainties and enhances planning strategies.
A short-term prediction approach helps in optimizing electric power supply and meeting peak load demands.

Alam et al. (2024) studied this question.

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