A Novel Home Energy Management System (HEMS) for Peak Load Reduction using LabVIEW DOI

A. Ajitha,

T.Diliphan Rajkumar,

Rishabh Sahai

et al.

Published: Dec. 17, 2023

Energy management and conservation is increasingly becoming relevant in today's world of climate change scarcity resources. Residential households consume a significant percent the total power consumption. In India growing number residential has often pushed consumption even to its peak at certain times day during which shoots challenges for utilities maintain demand-supply balance. That turn make invest more capital purchasing higher costs. This work proposes new energy algorithm houses hours so as attain goals cost savings. The proposed Home Management System (HEMS) was implemented using LabVIEW simulation model. results show that there huge potential opportunity effective load with saving reduces both consumer utilities. With considered conditions, produces 61%

Language: Английский

AI-Driven Urban Energy Solutions—From Individuals to Society: A Review DOI Creative Commons
Kinga Stecuła, Radosław Wolniak,

Wieslaw Grebski

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(24), P. 7988 - 7988

Published: Dec. 9, 2023

This paper provides a comprehensive review of solutions based on artificial intelligence (AI) in the urban energy sector, with focus their applications and impacts. The study employed literature methodology to analyze recent research AI’s role energy-related solutions, covering years 2019 2023. authors classified publications according main focus, resulting two key areas AI implementation: residential individual user applications, infrastructure integration for society. objectives this are following: O1: identify trends, emerging technologies, using field; O2: provide up-to-date insights into use applications; O3: gain understanding current state AI-driven solutions; O4: explore future directions, challenges field solutions. contributes deeper transformative potential management, providing valuable directions researchers practitioners field. Based results, it can be claimed that connected at homes is used following areas: heating cooling, lighting, windows blinds, home devices, management systems. integrating through solutions: enhancement electric vehicle charging infrastructure, reduction emissions, development smart grids, efficient storage. What more, latest associated implementation include need balance resident comfort efficiency homes, ensuring compatibility cooperation among various preventing unintended consumption increases due constant connectivity, renewable sources, coordination consumption.

Language: Английский

Citations

43
Design and implementation of smart home energy management system for Indian residential sector DOI

A. Ajitha,

G. Akhilesh,

T.Diliphan Rajkumar

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118369 - 118369

Published: April 3, 2024

Language: Английский

Citations

9
A peer-to-peer trading model to enhance resilience: A blockchain-based smart grids with machine learning analysis towards sustainable development goals DOI
Russell Sadeghi, Saeid Sadeghi, Ashkan Memari

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141880 - 141880

Published: March 27, 2024

Language: Английский

Citations

7
Economic Dispatch Model of Renewable Energy System Considering Demand Response DOI Creative Commons
Shiqin Guo

International Journal of Renewable Energy Development, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Due to the intermittency and volatility of renewable energy, system stability is poor operating cost high. This study proposes an economic dispatch model for energy systems based on demand response differential evolution algorithm. To validate effectiveness model, function extremum operation simulation experiments are designed. The results showed that improved algorithm had a variance 0 optimal value 10-30 multi-modal functions, 10-3.5 fixed dimensional functions. After considering response, peak valley difference in electricity consumption between A B was 90.15MW 527.55MW, with fluctuations 36.57MW 201.79MW, costs 46058.76 yuan 52.3315 million yuan, respectively. Research has shown electric coordination management this have been greatly improved, which can effectively achieve efficient utilization, ensure safe stable system, provide innovative theoretical basis optimization scheduling systems.

Language: Английский

Citations

0
A Novel Home Energy Management System (HEMS) for Peak Load Reduction using LabVIEW DOI

A. Ajitha,

T.Diliphan Rajkumar,

Rishabh Sahai

et al.

Published: Dec. 17, 2023

Energy management and conservation is increasingly becoming relevant in today's world of climate change scarcity resources. Residential households consume a significant percent the total power consumption. In India growing number residential has often pushed consumption even to its peak at certain times day during which shoots challenges for utilities maintain demand-supply balance. That turn make invest more capital purchasing higher costs. This work proposes new energy algorithm houses hours so as attain goals cost savings. The proposed Home Management System (HEMS) was implemented using LabVIEW simulation model. results show that there huge potential opportunity effective load with saving reduces both consumer utilities. With considered conditions, produces 61%

Language: Английский

Citations

0