Abstract:
With the advancement of technology, people’s reliance on energy is rapidly increasing.
Calculating a country’s power consumption is one technique to estimate its productivity
and rate of development . Recently, countries are using renewable energy and smart grids
to store and distribute energy. Traditional techniques to assume that how much load will
be required for consumers are not applicable. To overcome this problem researchers have
utilized short term load forecasting techniques. Developed countries already using many
effective short term load forecasting techniques. However, developing countries, such as
Pakistan, have been deprived of this. Recently, PRECON dataset was introduced in
Pakistan. In my research, I tried to make use of the best machine learning algorithms
such as Xgboost and LightGBM for forecasting. This research collectively uses hand
crafted and extracted features and then important features are extracted from them
using Xgboost and LightGBM. Final forecast results from our models show the our
work has the best mape from the previous studies.
