For a power supplier, meeting demand-supply equilibrium is of utmost importance. Electrical energy must be generated according to demand, as large amount electrical cannot stored. the proper functioning supply system, an adequate model for predicting load necessity. In present world, in almost every industry, whether it healthcare, agriculture, and consulting, growing digitization automation pr...

Abstract Short-term load forecasting is essential to the modern power system, which basis guarantee equilibrium of supply and demand. It not only ensures secure stable operation grid, but also provides an important for dispatch, can effectively reduce economic loss caused by energy surplus or shortage in a short term. In previous research work, traditional linear regression models, typical mach...

An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INNRW). The key is to introduce a weighting technique to the inputs of the model and use a novel neural network to forecast the daily maximum load. Ei...

As an important part of the power system, load forecasting directly affects national economy. Small improvements in forecasts can save millions dollars for industry. Therefore, improving accuracy has always been pursuing goal a system. Based on this goal, paper proposes novel connection, dense average which outputs all preceding layers are averaged as input next layer feed-forward fashion. Dens...