A new prediction model of electricity load based on hybrid forecast engine

ABSTRACT

In this paper, a new prediction model is introduced based on hybrid forecast engine and new feature selection. In this model, the load signal is filtered by feature selection to filter out the best candidates. Then, the proposed forecast engine is predicted the output of feature selection. In this model, the weights of proposed forecast engine are optimised by an intelligent algorithm to increase its accuracy. Effectiveness of the proposed method is applied over real-world engineering test case and compared with other different well-known methods. Obtained results proof the validity of the proposed method.

KEYWORDS:

• Forecast engine
• electricity load
• neural network
• optimisation

Disclosure statement

No potential conflict of interest was reported by the authors.