AI-Based Power Demand Forecasting of California Counties

: Electricity is an indispensable form of energy in almost every aspect of our life. Balancing power supply and demand is critical in maximizing energy efficiency and preventing power outages. Towards this end, the ability to make reliable power demand predictions represents a key step, and artificial intelligence and machine learning are emerging tools. In this study, the power demands of selected counties in California are analyzed for the past 30 years by various models, including linear regression, polynomial regression, and autoregressive integrated moving averages (ARIMA). The simulation results show that ARIMA is an effective tool in predicting future power demand, with performance noticeably enhanced compared with those by linear and polynomial regressions.