Advanced AI-based techniques to predict daily energy consumption: A case study

作者：

Highlights：

• A new probabilistic method is used to predict daily power consumption (case study).

• Combining the advantages of ANN techniques with the probabilistic concepts.

• Propose Hebbian law-based algorithm to adapt the architecture of an improved ANN.

• The genetic algorithm is used to optimize the scheduled outage of the power units.

摘要

•A new probabilistic method is used to predict daily power consumption (case study).•Combining the advantages of ANN techniques with the probabilistic concepts.•Propose Hebbian law-based algorithm to adapt the architecture of an improved ANN.•The genetic algorithm is used to optimize the scheduled outage of the power units.

论文关键词：Prediction,Consumed energy,Multiple Model Particle Filter,Artificial Neural Network,Genetic algorithm,Smart grids

论文评审过程：Received 2 February 2021, Revised 25 June 2021, Accepted 26 June 2021, Available online 8 July 2021, Version of Record 12 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115508