Evidence map›Paper›PMID 41285972›Full record

ArticleScientific reports2025

Empowering smart homes by IoT-driven hybrid renewable energy integration for enhanced efficiency.

Amam Hossain Bagdadee, Md Samiur Rahman, Ishtiak Al Mamoon, Deshinta Arrova Dewi, A K M Muzahidul Islam, Li Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Amam Hossain BagdadeeSchool of Electrical and Power Engineering, Hohai University, Nanjing, China. a.bagdadee@hhu.edu.cn.
Md Samiur RahmanDepartment of Computer Science, Illinois Institute of Technology, Chicago, IL, USA.
Ishtiak Al MamoonDepartment of Computer Science and Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh.
Deshinta Arrova DewiFaculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia.
A K M Muzahidul IslamDepartment of Computer Science and Engineering, United International University (UIU), Dhaka, Bangladesh.
Li ZhangSchool of Electrical and Power Engineering, Hohai University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates combined renewable energy systems with the Internet of Things (IoT) and smart homes to increase efficiency, cost savings, and environmental sustainability. The study optimizes the combination of solar panels, wind turbines, and energy storage systems, utilizing IoT sensors and controllers, to enable real-time monitoring and adaptive energy management. A simulated smart home environment case study demonstrates that the system outperforms conventional energy systems, improving average efficiency by up to 72.3%, reducing energy costs by up to 61%, and lowering CO₂ emissions by more than 61% compared to conventional systems. The solar-wind-storage configurations of the hybrid system increased efficiency to 80%, with customer satisfaction of 8.5/10, indicating the practical applicability of the system. In addition to presenting these quantifiable advantages, the paper discusses scalability issues, operational limits, and future research work, positioning the proposed approach as a pathway toward sustainable IoT-enabled smart home energy ecosystems.

Indexed as

Affordable electricityClean energy technologyEnergy efficiencyHybrid renewable energy systemIoT (Internet of things)Smart home

Identifiers

PMID41285972
PMCPMC12644738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.