Algorithm research and example analysis of mid-short-term load forecast for new electric connecting residential areas based on Demand Coefficient

With the social and economic development, the real estate industry rapid development, supply supporting projects in residential area is increasing. Residential areas load has large application for connection and installation, but the actual load is of slow growth, lack of effective ways and means, it´s inaccurate to forecast short-term load, difficult to balance the improvement of equipment utilization and to meet long-term electricity demand in the distribution network planning and the preparation of regional distribution network planning programs. The electricity load growth in new built residential area with the relatively high occupancy rate over the years is tracking analyzed, load forecasting method of new residential area to apply for electrical connection based on Demand Coefficient is researched and studied with case, which has good effects.