Artificial Neural Network Conventional Fusion Forecasting Model for Natural Gas Consumption

One of the most scarcity natural resource in today's world is Natural Gas. Most of the energy extracted from Natural Gas which is a limited resource. An accurate resource consumption planning is an absolute necessity to conserve this natural resource. We proposed an integrated approach of classical least square time series approach with neural network-based prediction model and compare the results with all classical models and the neural network models. The analyzed results show a better improvement over other classical forecasting and neural network models.