A novel time-span input neural network was developed to accurately predict the trend of the
main steam temperature of a 750-t/d waste incineration boiler. Its historical operating data …

It is difficult to establish an accurate mechanism model for prediction incinerator
temperatures due to the comprehensive complexity of the municipal solid waste (MSW) …

Accurate heating load prediction is essential to supply-demand collaboration in district
heating systems and energy sustainability. With the development of the Internet of Things …

The main steam parameters of a waste-to-energy plant are the key indicator of the safety
and stability of its combustion process. Accurate prediction of the main steam parameters …

With increases in the penetration of renewables in grids, there is an increasing demand for
coal-fired power plants to operate flexibly. Regulation of reheat steam temperature is of …

Circulating fluidized bed (CFB) units play an important role in thermal power generation
system in China. Because of advantages of wide fuel flexibility and low pollutant emissions …

Considering the accuracy, generalization ability, stability, and training efficiency of a furnace
temperature model in the process of municipal solid waste incineration, a heterogeneous …

Flexible operation of large-scale boilers for electricity generation is essential in modern
power systems. An accurate prediction of boiler steam temperature is of great importance to …

Automatic combustion control (ACC) system is the main control system of the current
municipal solid waste (MSW) incineration power plant. In this work, the artificial neural …

The outlet temperature of the decomposition furnace is a key indicator in the cement
production process. Aiming at the problem that traditional prediction methods only consider …