JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Electricity demand forecasting
Nischal K M, Prashanth A
Power demand prediction using a Machine learning algorithm and public available information. Besides, through trail with diverse types of the model it is possible to forecast the power demand with the desired accuracy and among the methods like Random Forest and linear regression methods show highest accuracy in the power demand forecast. The need to enhance the efficiency of energy and utilize energy resources most proficiently emphasizes the part of advanced energy management. The prediction models as the investigation of global energy consumption is defined as a progressive research area and aims to identify the best energy consumption prediction model developed from the analysis of research that has established data-based building energy consumption models.
Linear Regression, Random Forest