Electrical Load Forecasting Using Ant Algorithm With Short Forecast Time
DOI:
https://doi.org/10.30743/ppn9v604Keywords:
Load forecasting; Load growth; Electricity consumptionAbstract
The characteristics of the demand for electrical energy sometimes make the effort difficult to meet. Forecasting load growth and efforts to satisfactorily meet daily and annual load cycles are two difficulties that must be overcome. The average growth of electricity consumption in Indonesia is increasing every year. Given to build a power plant takes 8 to 10 years, then the system planners should look at the possibilities of the development of Power Systems 10 to 20 years ahead. This is necessary so that there is time to estimate and improve planning in a long-term perspective.The need for electrical energy consumption can also be used as an indicator of the trend in which the development of the sector or area is moving. The increasing need for electric power is certainly to be anticipated by providing a more adequate electrical system both in number and quality in the future. Thus, in electrical a system is needed forecasting (estimate) well to determine the need for electricity within a certain period of time either short-term, medium-term or long-term and the need for peak loads to reduce environmental uncertainty.
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