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Gospodinova, Ekaterina; Nenov, Dimitar (2025) Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers. Applied Sciences, 15 (9). doi:10.3390/app15095033

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Reference TypeJournal (article/letter/editorial)
TitleForecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers
JournalApplied Sciences
AuthorsGospodinova, EkaterinaAuthor
Nenov, DimitarAuthor
Year2025 (May 1)Volume15
Issue9
PublisherMDPI AG
DOIdoi:10.3390/app15095033Search in ResearchGate
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Mindat Ref. ID18367364Long-form Identifiermindat:1:5:18367364:4
GUID0
Full ReferenceGospodinova, Ekaterina; Nenov, Dimitar (2025) Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers. Applied Sciences, 15 (9). doi:10.3390/app15095033
Plain TextGospodinova, Ekaterina; Nenov, Dimitar (2025) Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers. Applied Sciences, 15 (9). doi:10.3390/app15095033
In(2025, May) Applied Sciences Vol. 15 (9). MDPI AG

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