The long term electricity demand forecasting is evaluated by using past demand and weather data. The aim of this study is to present the effect of the variety of inputs on performance. Therefore neural network models are evaluated due to their performance and common acceptance. Different varieties of inputs are applied to the model and results are compared with each other.