This invention relates to the field of
building energy management technology, providing a method and
system for collaborative optimization of
building energy consumption based on a
hybrid model and
correlation analysis. The method includes deploying a message
middleware between a
data acquisition module and a
hybrid prediction model, calculating a joint fluctuation index and using this index to control the switching of the
hybrid prediction model between simplified and full
inference states, constructing a directed
energy consumption correlation graph including
phase change energy storage units, and determining affected areas and
alternative energy supply paths based on this graph. A pulsed collaborative cycle is adopted, performing global correlation optimization over a long period and local adjustment by each area controller over a short period, triggering immediate lightweight coordination only when deviations exceed limits or the
phase change energy storage state reaches its boundary. This invention solves the problems of
strong coupling between prediction
model inference time and control cycle, easy global degradation caused by local faults, and excessively frequent global collaborative optimization in existing
building energy efficiency control systems.