지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.5
- 발행연도
- 2024.10
- 수록면
- 425 - 434 (10page)
- DOI
- 10.5573/IEIESPC.2024.13.5.425
이용수
초록· 키워드
오류제보하기
This manuscript presents a hybrid method for optimal energy management in smart home appliances. The proposed approach combines the Ebola Optimization Search Algorithm (EOSA) with the performance of spiking neural networks (SNN). The key objective of the proposed strategy is cost reduction through day-ahead load scheduling while also considering the best demand response (DR), and self-consumption of photovoltaic (PV). The EOSA method manages air conditioning (AC) and ensures thermal comfort. In addition, the SNN method was used to predict the optimal system control signal. Comparative analysis with existing systems, such as PSO, RFA, and BCO, showed that the proposed strategy resulted in 13% cost savings. The proposed system considered parameters, such as solar radiation, occupant presence, and electricity prices. The proposed technique is implemented in the MATLAB software, and the performance is compared with existing approaches. The efficiency of the proposed approach is higher than the existing techniques.
목차
Abstract
1. Introduction
2. Configuration of the Home Energy Management System
3. Proposed Ebola Optimization Search Algorithm (EOSA)-spiking Neural Networks (SNN)-based Optimal Energy Management in Smart House Appliances
4. Results and Discussion
5. Conclusion
Reference
참고문헌 (24)
참고문헌 신청
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U. Zafar, S. Bayhan, A. Sanfilippo, “Home energy management system concepts, configurations, and technologies for the smart grid,” IEEE access, vol. 8, pp. 119271-119286, Jun. 2020. Article (CrossRef Link)
Y. Saleem, N. Crespi, M.H. Rehmani, R. Copeland, “Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions,” Ieee Access, vol. 7, pp. 62962-63003, Apr. 2019. Article (CrossRef Link)
R.A. Sanjeevkumar, P. Kavya, “Optimization of DG Placement for Demand Side Management in Distribution System with Demand Response,” In 2021 IEEE PES/IAS PowerAfrica (pp. 1-5). IEEE. Aug. 2021. Article (CrossRef Link)
M. Castaneda, S. Zapata, J. Cherni, A.J. Aristizabal, I. Dyner, “The long-term effects of cautious feed-in tariff reductions on photovoltaic generation in the UK residential sector,” Renewable Energy, vol. 155, pp. 1432-1443, Aug. 2020. Article (CrossRef Link)
U. Zafar, S. Bayhan, A. Sanfilippo, “Home energy management system concepts, configurations, and technologies for the smart grid,” IEEE access, vol. 8, pp. 119271-119286, Jun. 2020. Article (CrossRef Link)
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