A new environment for improving accuracy of load forecasting using load and weather data

The temperature observation point is one of the most important factors for accurate load forecasting of daily peak load. For development of information and communication technology, electric companies utilize additional observation data. In this paper, we analyzed the relationship between forecast accuracy and temperature observation point, using these data