Abstract
In the industrial era 4.0 as it is today, along with the increasing need for electrical energy, energy efficiency is an essential factor in achieving energy production cost efficiency. Efficiency will be achieved if electricity production can be adjusted to the customer’s electrical load. However, adjusting the electricity production poses a challenge, namely the difficulty of predicting the daily electricity load of customers. There are many factors that affect the electric load. One of the main factors is the weather. Therefore, this study focuses on the correlation of weather parameters on load demand. The weather parameters consist of temperature, rainfall, solar radiation, and wind speed. Case studies were conducted in Bali Island and Central Java Province. This paper looked for correlations between weather parameters with the load demand, especially in the island of Bali and Central Java Province.
An adaptive backpropagation algorithm for long-term electricity load forecasting