2023
DOI: 10.1016/j.est.2022.106168
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An efficient renewable hybridization based on hydrogen storage for peak demand reduction: A rule-based energy control and optimization using machine learning techniques

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Cited by 32 publications
(2 citation statements)
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“…The work [55] is devoted to the complex development of an energy supply system for buildings that consume electricity for heating and household needs. The energy complex management system operates on the basis of a table of formulated rules and further the solutions produced are optimized using the gray wolf method.…”
Section: Resultsmentioning
confidence: 99%
“…The work [55] is devoted to the complex development of an energy supply system for buildings that consume electricity for heating and household needs. The energy complex management system operates on the basis of a table of formulated rules and further the solutions produced are optimized using the gray wolf method.…”
Section: Resultsmentioning
confidence: 99%
“…In terms of system performance and cost analysis, Kalinci et al [ 13 ] developed a hybrid hydrogen energy system, analyzing the potential of hydrogen production from electrolytic water with an average daily hydrogen production of 1.49 kg h −1 in the Turkey region. Similarly, Behzadi A et al [ 14 ] proposed a system driven by solar and wind energy, configured with electrolytic cells and fuel cells, and conducted comprehensive technoeconomic and environmental analyses. While verifying the role of hydrogen storage in system peaking, their focus was limited to the energy supply for a single apartment.…”
Section: Introductionmentioning
confidence: 99%