In order to solve the issues, we propose a novel privacy-preserving cloud-aided load forecasting scheme for the cloud computing-based smart grid. It contains a secure online training algorithm and an ...

The vast amounts of data and the growing number of attacks in the smart grids (SGs) are consequences of the huge reliance on information and communication technology, that is further posing serious ...