  According to research, reducing consumer energy demand through behavioural
interventions is an important factor of efforts to reduce greenhouse gas
emissions and climate change.On this basis, feedback interventions that make
energy consumption and conservation efforts apparent are seen as a feasible
method for increasing energy-saving habits. Simulation techniques provide a
convenient and cost-effective tool for examining the parameters that may affect
the amount of energy saved as a result of such interventions. However,
constructing a reliable model that accurately represents real-world processes
is a significant issue. Five Opinion Dynamic (OD) models that depict how
opinion change occurs among individuals interactions are investigated in this
paper, and a Revised OD (ROD) model is suggested to develop more efficient
eco-feedback simulation models. The results show that the influence condition
and the weight-factor of connected opinions have a substantial impact on the
accuracy of simulation outputs when compared to field experiment reports. As a
result, ROD has been proposed for eco-feedback program simulations, as it
provides the nearest approximation to the field data.
