Abstract: A disclosed system for dynamically controlling energy performance operations in a facility includes: energy sources, energy sources controllers, and a centralized controller. The centralized controller can: receive signals indicating performance of the energy sources in real-time, retrieve at least one model that is iteratively trained using machine learning techniques and training data including (i) at least a portion of the received signals and (ii) decisions made by the centralized controller, provide at least a portion of the received signals as input to the model, and receive, as output from the model, control operations for one or more of the energy sources for a predetermined period of time, and return the control operations to respective controllers of the one or more energy sources for execution during the predetermined period of time.

Abstract: Methods and systems for controlling users' access to data available on blockchains are described herein, comprising: determining a first right for a first user to first data; determining a location in a permissioned blockchain comprising the first data, the location being a first fork of the permissioned blockchain; determining a first privilege required to access the first fork; determining that the first user corresponds to a first cryptographic address; and assigning the first privilege to the first cryptographic address.