Energy Efficiency and Energy Consumption Modelling Using Artificial Neural Networks

Dear Colleagues,

New technology and approaches are continuously and rapidly being introduced and implemented in today's energy systems. Machine Learning techniques play an increasingly important role in smart cities, ordinary buildings and renewable energy systems, amongst many others. As a consequence, assessing and modelling energy expenditure is a key task to improve energy efficiency in these systems. Recently, it has been noted that certain kinds of Machine Learning methods are growing in popularity when it comes to dealing with energy-related data for energy modelling and decision-making processes; these models are Artificial Neural Networks.

Traditionally, energy efficiency has mainly been handled using standard control methods in the energy industry. However, the application of intelligent techniques such as Artificial Neural Networks has led to new and sophisticated solutions for energy efficiency improvement. As a result, it is of paramount importance to develop and implement new intelligent techniques to address this problem.

This Special Issue aims to provide comprehensive coverage of energy efficiency and energy modelling using artificial neural networks. Therefore, we invite authors to contribute papers on innovative artificial intelligence applications for energy modelling, including reviews and case studies.

Prof. Dr. María del Carmen Pegalajar Jiménez
Dr. Luis G. Baca Ruiz
Guest Editors

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