Abstract
One of the important things to do in electric power system operation is load forecasting. Load forecasting consists short term load forecasting and very short term forecasting. The very short-term load forecasting is predicting electrical loads in every 30 minutes. This forecasting is done to decide which plant to operate. The capacity of the plant to be operated adjusts to the load plan to be supplied the next day One method utilized in this research is Fuzzy Logic. This method has been applied for short-term load forecasting and will be employed for very short-term forecasting peak load time. Fuzzy logic expected has a small MAPE (0,6244%).
Original language | English |
---|---|
Article number | 012070 |
Journal | IOP Conference Series: Materials Science and Engineering |
Volume | 403 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | 2017 1st International Conference on Engineering and Applied Technology, ICEAT 2017 - Mataram, Indonesia Duration: 29 Nov 2017 → 30 Nov 2017 |
Keywords
- Fuzzy Logic
- Main Average Percentage Error (MAPE)
- Very Short Term Load Forecasting