Comparative analysis of statistical, machine learning, and grey methods for short-term electricity load forecasting

Keyphrases

• Comparative Analysis 100%
• Forecasting Model 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Grey Method 100%
• Statistical Machine Learning Methods 100%
• Seasonal Grey Model 100%
• Short-term Power Load Prediction 100%
• Prediction Accuracy 50%
• Forecasting Techniques 50%
• Electricity Generation 50%
• Model Support 50%
• Regression Forest 50%
• Electricity Market 50%
• Linear Regression 50%
• Time Series Forecasting 50%
• Market Participants 50%
• Time Series Modeling 50%
• Distributor 50%
• Hourly Load 50%
• Day-ahead Market 50%
• Generation Company 50%
• Electric Load Forecasting 50%
• Rolling Forecast 50%
• Scheduling Operation 50%
• Market Activity 50%
• Day-ahead Load Forecasting 50%
• Seasonal ARIMA 50%
• Day-ahead Forecasting 50%

Engineering

• Comparative Analysis 100%
• Load Forecasting 100%
• Experimental Result 33%
• Random Forest 33%
• Power Generation 33%
• Market Participant 33%
• day-ahead market 33%
• Scheduling Operation 33%