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Developing an optimal renewable electricity generation mix for China using a fuzzy multi-objective approach

https://doi.org/10.1016/j.renene.2019.03.011
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

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The 14 references without a DOI — listed, not checked
no DOI — not checkedProgress of renewable electricity replacing fossil fuels
no DOI — not checked10.1016/j.renene.2019.03.011_bib2
no DOI — not checked10.1016/j.renene.2019.03.011_bib5
no DOI — not checked10.1016/j.renene.2019.03.011_bib6
no DOI — not checkedChapter 5 - efficient electricity generating portfolios for Europe: maximizing energy security and climate change mitigation
no DOI — not checkedSustainable electricity generation mix for Iran: a fuzzy analytic network process approach
no DOI — not checkedMulti-criteria generation optimal mix planning for Malaysia‟s additional capacity
no DOI — not checkedOn comprehensive evaluation and optimization of renewable energy development in China
no DOI — not checked10.1016/j.renene.2019.03.011_bib38
no DOI — not checkedChapter 9 - life-cycle assessment
no DOI — not checked10.1016/j.renene.2019.03.011_bib43
no DOI — not checked10.1016/j.renene.2019.03.011_bib46
no DOI — not checkedBrief Description of Hydropower Resour ces in China
no DOI — not checked10.1016/j.renene.2019.03.011_bib50
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