Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

Abstract

This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.

Hardware Implementation of a Home Energy Management System Using Remodeled Sperm Swarm Optimization (RMSSO) Algorithm

“…If smart meter failed to read or send the readings to the controller for more than 60 s, controller sent an alert notification message. Several privacy and security standards described in [36], and the proposed prototype system uses HTTPS for secure data tra 7, it is found that in the monsoon season, the proposed RMSSO algorithm completed 100% of the task (10 kW), while the SSO and SSA techniques completed 129.5% and 126.5%, respectively. In the same scenario, the percentage cost difference of SSO and SSA from RMSSO was 24.44% and 21.92%, respectively.…”

“…If the smart meter failed to read or send the readings to the controller for more than 60 s, the controller sent an alert notification message. Several privacy and security standards are described in [36], and the proposed prototype system uses HTTPS for secure data transmission between local databases and cloud storage. The controller uploaded all collected data as a CSV file to the cloud storage (Thingspeak).…”

“…The database got u minute, the controller calculated and recorded the average smart meter failed to read or send the readings to the contr controller sent an alert notification message. Several privacy described in [36], and the proposed prototype system uses H mission between local databases and cloud storage. The cont data as a CSV file to the cloud storage (Thingspeak).…”

V2X integration in self-consumption energy management system

“…The house consumption standard scenario (Figure 3) considers a 4 MWh single-family house consumption from real data collected on Madeira Island [12], reflecting the average electricity consumption patterns in the Azores. In terms of PV generation (Figure 4), the default scenario reflects a 2.2 kWp PV system in the S. Miguel Island (~2000 sunshine hours per year).…”