A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load

Algorithm 1

GABPNN.

) GENERATE   / Calculate the fitness of each individual in the population. /

() DO WHILE 

()     / Record the best fitness values and the average fitness values. /

()    FOR EACH    DO /The process of the select operation. /

()         

()         FOR EACH    DO / The process of the crossover and mutation operations. /

()             

()           

() END FOR; END WHILE

()  /Initial weights and thresholds of BPNN by the obtained best individual. /

() ,  / The process of training data normalization. /

() / Adjust the weights and threshold of BPNN according to the forecast error. /

() DO WHILE  

()     

()     FOR EACH    DO

()          FOR EACH    DO

()               / Calculate the outputs of the hidden layer. /

()              FOR EACH    DO

()                   / Calculate the outputs of the output layer. /

()                   / Calculate the forecast error in the output layer. /

()                   / Update the connection weights /

()                  

()                     / Update the threshold. /

() END FOR; END WHILE

() RETURN