By operation with an efficient combination of multiple utility facilities such as turbines, boilers and engines, distributed power supply using renewable energy and a power storage system such as ESS, effects such as a reduction of CO2 emissions, a reduction of energy cost through the optimization of power contracts and a reduction of fuel cost and an increase in profits through the selling of power can be expected. There are many technologies required for the realization of such an operation, and one of the key elements is demand forecasting technology. In this report, the forecasting method and system that Mitsubishi Heavy Industries, Ltd. developed with a focus on factory demand forecasting and a case example where the developed system was applied to forecast the power demand in its factory are described.
