Open Access
| Issue |
Sci. Tech. Energ. Transition
Volume 81, 2026
Innovative Strategies and Technologies for Sustainable Renewable Energy and Low-Carbon Development
|
|
|---|---|---|
| Article Number | 10 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.2516/stet/2026005 | |
| Published online | 06 April 2026 | |
- Hu J., Shan Y., Yang Y., Parisio A., Li Y., Amjady N., Islam S., Cheng K.W., Guerrero J.M., Rodríguez J. (2024) Economic model predictive control for microgrid optimization: A review, IEEE Trans Smart Grid 15, 1, 472–484. [Google Scholar]
- Hong Y.-Y., Chang W.-C., Chang Y.-R., Lee Y.-D., Ouyang D.-C. (2017) Optimal sizing of renewable energy generations in a community microgrid using Markov model, Energy 135, 68–74. [Google Scholar]
- Yi P., Dong X., Iwayemi A., Zhou C., Li S. (2013) Real-time opportunistic scheduling for residential demand response, IEEE Trans. Smart Grid 4, 1, 227–234. [Google Scholar]
- Hu J., Zhu J., Platt G. (2011) Smart grid – The next generation electricity grid with power flow optimization and high power quality, in 2011 International Conference on Electrical Machines and Systems, Vol. 20–23, pp. 1–6. [Google Scholar]
- Xiong B., Wei F., Wang Y., Xia K., Su F., Fang Y., Gao Z., Wei Z. (2024) Hybrid robust-stochastic optimal scheduling for multi-objective home energy management with the consideration of uncertainties, Energy 290, 130047. [Google Scholar]
- Usman H.M., ElShatshat R., El-Hag A.H. (2025) Energy management for smart residential homes: A real-time fuzzy logic approach, Electric Power Systems Research 238, 111057. [Google Scholar]
- Yuan J., Zeng X., Zhou J., Li J., Lv J., Chen R., Chen K., Yang W., Zhang Y. (2025) Data-driven real-time home energy management system based on adaptive dynamic programming, Electric Power Syst. Res. 238, 111055. [Google Scholar]
- Tooryan F., Hassanzadeh Fard H., Collins E.R., Jin S., Ramezani B. (2020) Optimization and energy management of distributed energy resources for a hybrid residential microgrid, J. Energy Storage 30, 101556. [Google Scholar]
- Javaid N., Naseem M., Rasheed M.B., Mahmood D., Khan S.A., Alrajeh N., Iqbal Z. (2017) A new heuristically optimized Home Energy Management controller for smart grid, Sustain. Cities Soc. 34, 211–227. [Google Scholar]
- Lee E.K., Shi W., Gadh R., Kim W. (2016) Design and implementation of a microgrid energy management system, Sustain. 8, 11, 1–19. [Google Scholar]
- Rashid M.M., Ur M., Hasan M.M. (2018) Simulation based energy and cost optimization for home users in a community smart grid, Int. J. Renew. Energy Res. 8, 3, 1281–1287. [Google Scholar]
- Tayab U.B., Lu J., Yang F., Islam M., Zia A., Hossain J.(2019) Microgrid energy management system for academic building, in 2019 29th Australas. Univ. Power Eng. Conf. AUPEC. [Google Scholar]
- Islam M., Yang F., Amin M. (2021) Control and optimisation of networked microgrids: A review, IET Renew. Power Gener. 15, 6, 1133–1148. [Google Scholar]
- Shayeghi H., Shahryari E., Moradzadeh M., Siano P. (2019) A survey on microgrid energy management considering flexible energy sources, Energies 12, 11. [Google Scholar]
- Qi W., Palacios T.R., Granelli F. (2013) A novel architecture for the distribution section of smart grid with renewable sources and power storage, in Proceedings of the Twenty-Third International Conference on Computer Communications and Networks. [Google Scholar]
- Khan M.W., Wang J., Ma M., Xiong L., Li P., Wu F. (2019) Optimal energy management and control aspects of distributed microgrid using multi-agent systems, Sustain. Cities Soc. 44, 855–870. [Google Scholar]
- Daneshvar M., Eskandari H., Sirous A.B., Esmaeilzadeh R. (2021) A novel techno-economic risk-averse strategy for optimal scheduling of renewable-based industrial microgrid, Sustain. Cities Soc. 70, 102879. [Google Scholar]
- Parol M., Wójtowicz T., Księżyk K., Wenge C., Balischewski S., Arendarski B. (2020) Optimum management of power and energy in low voltage microgrids using evolutionary algorithms and energy storage, Int. J. Electr. Power Energy Syst. 119, 105886. [Google Scholar]
- Esapour K., Abbasian M., Saghafi H. (2021) Intelligent energy management in hybrid microgrids considering tidal, wind, solar and battery, Int. J. Electr. Power Energy Syst. 127, 106615. [Google Scholar]
- Bazmohammadi N., Tahsiri A., Anvari-Moghaddam A., Guerrero J.M. (2019) A hierarchical energy management strategy for interconnected microgrids considering uncertainty, Int. J. Electr. Power Energy Syst. 109, 597–608. [Google Scholar]
- Adika C.O., Wang L. (2014) Smart charging and appliance scheduling approaches to demand side management, Int. J. Electr. Power Energy Syst. 57, 232–240. [Google Scholar]
- Arun S.L., Selvan M.P. (2018) Intelligent residential energy management system for dynamic demand response in smart buildings, IEEE Syst. J. 12, 2, 1329–1340. [Google Scholar]
- Tooryan F., Collins E.R. (2018) Optimum size and placement of distributed generators in microgrid based on reliability concept, in 2018 IEEE Power and Energy Conference at Illinois (PECI), pp. 1–6. [Google Scholar]
- Hassanzadeh Fard H., Jalilian A. (2018) Optimal sizing and location of renewable energy based DG units in distribution systems considering load growth, Electr. Power Energy Syst. 101, 356–370. [Google Scholar]
- Justus C.G. (1978) Wind energy statistics for large arrays of wind turbines (New England and Central U.S. Regions), Sol. Energy 20, 5, 379–386. [Google Scholar]
- Farrugia R.N. (2003) The wind shear exponent in a Mediterranean island climate, Renew. Energy 28, 4, 647–653. [CrossRef] [Google Scholar]
- Dürr M., Cruden A., Gair S., McDonald J.R. (2006) Dynamic model of a lead acid battery for use in a domestic fuel cell system, J. Power Sources 161, 2, 1400–1411. [CrossRef] [Google Scholar]
- Leadbetter J., Swan L. (2012) Battery storage system for residential electricity peak demand shaving, Energy Build. 55, 685–692. [Google Scholar]
- Liu D., Xu Y., Wei Q., Liu X. (2018) Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming, IEEE/CAA J. Autom. Sin. 5, 1, 36–46. [Google Scholar]
- Al Essa M.J.M. (2018) Management of charging cycles for grid-connected energy storage batteries, J. Energy Storage 18, 380–388. [Google Scholar]
- Mohsenian-Rad A.H., Wong V.W.S., Jatskevich J., Schober R. (2010)Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid, in Innovative Smart Grid Technologies Conference, ISGT. [Google Scholar]
- Lokeshgupta B., Sivasubramani S. (2019) Multi-objective home energy management with battery energy storage systems, Sustain. Cities Soc. 47, 101458. [Google Scholar]
- Hossain M.A., Pota H.R., Squartini S., Abdou A.F. (2019) Modified PSO algorithm for real-time energy management in grid-connected microgrids, Renew. Energy 136, 746–757. [Google Scholar]
- Hossain M.A., Pota H.R., Squartini S., Zaman F., Guerrero J.M. (2019) Energy scheduling of community microgrid with battery cost using particle swarm optimisation, Appl. Energy 254, 113723. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.