Real-Time Monitoring of Energy Contributions in Renewable Energy Communities Through an IoT Measurement System.

Francesco Bonavolontà, Annalisa Liccardo, Fabio Mottola, Daniela Proto

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Francesco BonavolontàDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.ORCID 0000-0003-0666-0942

Annalisa LiccardoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.ORCID 0000-0003-1270-4948

Fabio MottolaDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.ORCID 0000-0001-9490-6484

Daniela ProtoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.ORCID 0000-0002-0673-1002

Funding

Ministero dell'università e della ricerca E63C22002160007

6 · The paper itself

Abstract

This paper presents an IoT-based monitoring system designed to measure energy exchanges within Renewable Energy Communities. The proposed system utilizes embedded devices functioning as IoT power meters, which communicate via LoRaWAN technology and employ the MQTT protocol. Members of the energy community can monitor energy flows in real time, enabling them to remain constantly informed about potential penalties and adopt behaviors that optimize incentives linked to the self-consumption of generated energy. Moreover, in the case of Renewable Energy Communities, incentive schemes can be adopted which allow exploiting the advantages of using storage units. In this context, it is important to correctly measure the energy terms which can be incentivized. This is not an easy task, especially when dealing with storage units for which the concept of

Indexed as

energy contributionsenergy monitoringIoT measurementsrenewable energy communitiessmart power meter

Identifiers

PMID40096256

DOI10.3390/s25051402

PMCPMC11902760

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.