Short-term Load Forecasting with Distributed Long Short-Term Memory. (arXiv:2208.01147v2 [cs.LG] UPDATED)

With the employment of smart meters, massive data on consumer behaviour can
be collected by retailers. From the collected data, the retailers may obtain
the household profile information and implement demand response. While
retailers prefer to acquire a model as accurate as possible among different
customers, there are two major challenges. First, different retailers in the
retail market do not share their consumer's electricity consumption data as
these data are regarded as their assets, which has led to the problem …

arxiv distributed forecasting long short-term memory memory