About: covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/1

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About: covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/1 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Claim, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Idea aif:I-node aif:KnowledgePosition_Statement claim
wasQuotedFrom	A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm
sioca:supports	covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/0
aif:claimText	The simulation results confirm that the proposed REMS has contributed to better adoption of a cleaner energy production system , as the scheme significantly reduces fuel consumption , CO 2 emission and COE by 92 . 4 % , 92 . 3 % and 79 . 8 % , respectively as compared to the conventional D gen .
proves	covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/0
is hasSource of	nodeID://b56531552 nodeID://b56587236 nodeID://b56818580 nodeID://b56855444 nodeID://b57372900 »more»
is sioca:supports of	covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/0
is has claim of	covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c
is proves of	covid:arg/6b1f1f4824b6286f06ee6172dd814184fdf37b0c/0

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