Quantum inspired evolutionary algorithm to improve the accuracy of a neuronal model of the electric power exchange

A neural model supported by the Evolutionary Algorithm inspired by quantum calculations to determine prices at the Polish Power Exchange Day Ahead Market

“…It was assumed that quantum calculations algorithm may be divided into three basic algorithms, i.e. the algorithm of quantization of the training file as well as the weights and biases file, the algorithm of quantum calculations performed using vector-matrix calculus and the algorithm of dequantization of quantum numbers into real numbers, which was described in detail in works [4][5][7][8]. Quantization algorithm involves determination of quantum vectors of mixed numbers based on real numbers.…”

“…The object being modelled is the system of the Polish Power Exchange a (PPE) concerning the concluded transactions quoted on the Day Ahead Market (DAM) with 24 input quantities and 24 output quantities [4][5][7][8]. Input quantities are streams of electrical energy (ee) volume supplied and sold at the PPE [MWh] in each hour of the 24-hour day, and output quantities are streams of average prices obtained for sold ee weighted by the volume of ee in each hour of 24-hour day [PLN/MWh].…”