作者
Raffi Sevlian, Ram Rajagopal
发表日期
2013/10/21
研讨会论文
2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)
页码范围
714-719
出版商
IEEE
简介
The projected smart grid intends to deliver a variety of services to energy consumers. Many of these services rely on aggregates of energy consumers. Forecasting energy consumption of groups of users is a crucial aspect of this process. This paper addresses electricity load forecasting on varying scales of aggregation. Using city wide consumption data at 1 hour interval standard forecasting methods are applied to the data. It is shown that under some ideal conditions, forecasting errors decrease on as Θ(1/√N). We show empirically the true forecasting errors decrease as Θ(1/N α ) with α <; 0.5.
学术搜索中的文章
R Sevlian, R Rajagopal - 2013 IEEE International Conference on Smart Grid …, 2013