  Adopting Secure scalar product and Secure sum techniques, we propose a
privacy-preserving method to build the joint and conditional probability
distribution functions of multiple wind farms' output considering the
temporal-spatial correlation. The proposed method can protect the raw data of
wind farms (WFs) from disclosure, and are mathematically equivalent to the
centralized method which needs to gather the raw data of all WFs.
