SET Proceedings 2978-4387 Caravel Press 10.65582/set.2003.023 2003.023 The study on energy demand forecast of Chongqing YangJia WuXiangsheng Department of Architecture and Environment, Logistical Engineering University, Chongqing, 400041, P.R. China 24102003 2 1 978-1-995850-10-8 100 103 © 2003 Copyright WSSET 2003

Energy demand forecasting is the base for programming energy system. With the economy development, the increasing amount of energy consumption is in contradiction with the exhausted resource and destroyed environment. For the sake of the sustainable development, the reasonable energy demand forecasting is needed, and it is the scientific reference for establishing energy developing stratagem and energy policy. But the traditional forecasting methods at present have some limitations. Artificial neural network(ANN) is a new and developing subject, whose capability of adaptability and self-study is excellent. Based on the analysis as above, the forecasting model with artificial neural network was established. This model is based on the idea of time series. Compared with the traditional algorithm, this model is more friendly and maneuverability, which is not only able to forecast for a short term, but also able to forecast for a long period. Based on the fact of Chongqing, the energy demand of Chongqing is analyzed, and then it is forecasted from 2002 to 2020 with the model, and the forecasting results are reasonable.

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