MONTHLY ELECTRICITY CONSUMPTION FORECASTING METHOD BASED ON ARIMA-RF AND CEEMDAN-SSA DECOMPOSITION TECHNIQUE
Electricity is one of the most vital forms of energy in everyday life. This fact triggers an increase in the demand for electrical power from year to year. To ensure the supply of electric power remains safe, reliable, and cost-effective, electrical energy consumption forecasting is becoming an i...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/61875 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |