Abstract
The load forecasting at the main distribution electrical network is a very important tool in the Smart Grids management systems, particularly in spot price environment. Predict the entire load diagram for the next day, is an important auxiliary tool, in order to guarantee the safety of the whole electro producer system and, consequently, to guarantee a better and more efficient grid management. In the actual scenario of market deregulation, the tendency is to maintain closer the production and the consumption. In this scenario, the load forecast with a horizon of 24 hours represents a vital tool for the management of the electric energy systems. The aim of this paper is to establish a different and simple approach of input variables in order to predict the load profile for the next day's load diagram. The present composition gives to the model a good accuracy in several types of distribution substations. The developed methodology was applied in a real case.
Original language | English |
---|---|
Title of host publication | Proceedings - 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 50-54 |
Number of pages | 5 |
ISBN (Electronic) | 9781728142180 |
DOIs | |
Publication status | Published - Jul 2020 |
Event | 14th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020 - Virtual, Online, Portugal Duration: 8 Jul 2020 → 10 Jul 2020 |
Conference
Conference | 14th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020 |
---|---|
Country/Territory | Portugal |
City | Virtual, Online |
Period | 8/07/20 → 10/07/20 |
Keywords
- input vector
- load forecasting
- peak forecasting
- regressive methods