Abstract
Industry 4.0 is a paradigm consisting of cyber-physical systems based on the interconnection between all sorts of machines, sensors, and actuators, generally known as things. The combination of energy technology and information and technology communication (ICT) enables measurement, control, and automation to be performed across the distributed grid with high time resolution. Through digital revolution in the energy sector, the term Energy 4.0 emerges in the future electric sector. The growth outlook for appliance usage is increasing and the appearance of renewable energy sources on the electric grid requires strategies to control demand and peak loads. Potential feedback for energy performance is the use of smart meters in conjunction with smart energy management; well-designed applications will successfully inform, engage, empower, and motivate consumers. This paper presents several hands-on tools for load forecasting, comparing previous works and verifying which show the best energy forecasting performance in a smart monitoring system. Simulations were performed based on forecasting of the hours ahead of the load for several households. Special attention was given to the accuracy of the forecasting model for weekdays and weekends. The development of the proposed methods, based on artificial neural networks (ANN), provides more reliable forecasting for a few hours ahead and peak loads.
Highlights
The fourth industrial revolution has been labelled Industry 4.0, which is characterized by the widespread implementation of cyber–physical systems (CPS) applied to manufacturing processes
The assessment of the artificial neural networks (ANN) performance is based on the shape of the load profile distribution and the following criteria: mean absolute percentage error (MAPE) and standard of errors (SDE)
The results show a generalized conclusion: the forecasted hourly load curve is closer to the actual load curve, which indicates that the proposed forecasting methods are satisfactory for the domestic sector
Summary
The fourth industrial revolution has been labelled Industry 4.0, which is characterized by the widespread implementation of cyber–physical systems (CPS) applied to manufacturing processes. Industry 4.0 considers Internet-of-Things (IoT) to develop and implement cyber–physical artefacts with the ability to communicate and work together in real-time with cloud-enabled services and humans. It brings together several technologies and security concerns that need to be addressed for providing products that are recurrent to the customers and market competition for the future of Industry 4.0 Interconnected Things (I4IT) [3]. Industry 4.0 intends to contribute to the strict integration of humans in services and manufacturing processes to promote continuous improvement and aim for activities that add value and prevent waste.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
