Heating load forecasting of municipal steam heating system is an important part of the smart city. According to the forecast results, heating companies can arrange production reasonably and provide heating uniform and stable to improve energy efficiency. For the features of the time series of heating monitor data, we present the optimal GM (1, 1) model based on the metabolic GM (1, 1) model. Results from theoretical analysis, simulations, and experiments show that the performance of the optimal GM (1, 1) model forecasting is effective with smaller error, robustness against outliers and able to meet forecast demand.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.