FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308985104> ?p ?o ?g. }

• W4308985104 endingPage "16" @default.
• W4308985104 startingPage "1" @default.
• W4308985104 abstract "In the fabric of energy generation, solar power is the most promising clean energy solution as an alternative to non-renewable energy sources. However, solar power’s dependency on environmental factors adds uncertainty to energy production. In such a scenario, solar power forecasting provides an edge to mitigate this uncertainty and improves overall system stability. Recently, machine learning (ML) models have been extensively deployed for designing and forecasting solar power. However, data pre-processing, forecast horizon, and performance evaluation of ML algorithms have to be carefully evaluated to find an accurate model. This paper provides an empirical comparison of different generation ML models for solar power forecasting, which can help understand future research on which method to adopt, depending on the ML model’s strengths and weaknesses. Therefore, an effective forecasting method is designated in aspects such as performance errors, convergence time, and computational complexity. So, this work rates different ML models on error performance metrics and convergence time. Moreover, cross-fold validations and hyperparameter are also examined for the top five performing models for a comprehensive evaluation and to give more intuitive and calibrated insight into various stakeholders working in the solar power plant modeling field." @default.
• W4308985104 created "2022-11-20" @default.
• W4308985104 creator A5002740493 @default.
• W4308985104 creator A5014413639 @default.
• W4308985104 creator A5068944295 @default.
• W4308985104 date "2022-11-14" @default.
• W4308985104 modified "2023-09-26" @default.
• W4308985104 title "An Empirical Analysis of Machine Learning Algorithms for Solar Power Forecasting in a High Dimensional Uncertain Environment" @default.
• W4308985104 cites W1191826283 @default.
• W4308985104 cites W1469381315 @default.
• W4308985104 cites W1516907816 @default.
• W4308985104 cites W1646413597 @default.
• W4308985104 cites W1966490307 @default.
• W4308985104 cites W1969646451 @default.
• W4308985104 cites W2024716714 @default.
• W4308985104 cites W2033406960 @default.
• W4308985104 cites W2035071946 @default.
• W4308985104 cites W2042511026 @default.
• W4308985104 cites W2058580388 @default.
• W4308985104 cites W2074088705 @default.
• W4308985104 cites W2083397465 @default.
• W4308985104 cites W2106983732 @default.
• W4308985104 cites W2114668738 @default.
• W4308985104 cites W2284910918 @default.
• W4308985104 cites W2339636646 @default.
• W4308985104 cites W2347494083 @default.
• W4308985104 cites W2369565839 @default.
• W4308985104 cites W2413306771 @default.
• W4308985104 cites W2469734051 @default.
• W4308985104 cites W2610219179 @default.
• W4308985104 cites W2621841909 @default.
• W4308985104 cites W2751698537 @default.
• W4308985104 cites W2767559196 @default.
• W4308985104 cites W2790103198 @default.
• W4308985104 cites W2791663880 @default.
• W4308985104 cites W2888449021 @default.
• W4308985104 cites W2898515673 @default.
• W4308985104 cites W2904515000 @default.
• W4308985104 cites W2912634511 @default.
• W4308985104 cites W2914856364 @default.
• W4308985104 cites W2917491574 @default.
• W4308985104 cites W2922600997 @default.
• W4308985104 cites W2936183069 @default.
• W4308985104 cites W2941003806 @default.
• W4308985104 cites W2962843543 @default.
• W4308985104 cites W2963151450 @default.
• W4308985104 cites W2963322289 @default.
• W4308985104 cites W2979510147 @default.
• W4308985104 cites W2979950223 @default.
• W4308985104 cites W2984733277 @default.
• W4308985104 cites W2991020813 @default.
• W4308985104 cites W2998878989 @default.
• W4308985104 cites W3021308819 @default.
• W4308985104 cites W3024537702 @default.
• W4308985104 cites W3028586177 @default.
• W4308985104 cites W3034083865 @default.
• W4308985104 cites W3207915272 @default.
• W4308985104 cites W3215744137 @default.
• W4308985104 cites W4220746704 @default.
• W4308985104 cites W4248109090 @default.
• W4308985104 doi "https://doi.org/10.1080/02564602.2022.2136270" @default.
• W4308985104 hasPublicationYear "2022" @default.
• W4308985104 type Work @default.
• W4308985104 citedByCount "1" @default.
• W4308985104 countsByYear W43089851042023 @default.
• W4308985104 crossrefType "journal-article" @default.
• W4308985104 hasAuthorship W4308985104A5002740493 @default.
• W4308985104 hasAuthorship W4308985104A5014413639 @default.
• W4308985104 hasAuthorship W4308985104A5068944295 @default.
• W4308985104 hasConcept C11413529 @default.
• W4308985104 hasConcept C119599485 @default.
• W4308985104 hasConcept C119857082 @default.
• W4308985104 hasConcept C121332964 @default.
• W4308985104 hasConcept C127413603 @default.
• W4308985104 hasConcept C133199616 @default.
• W4308985104 hasConcept C154945302 @default.
• W4308985104 hasConcept C162324750 @default.
• W4308985104 hasConcept C163258240 @default.
• W4308985104 hasConcept C188573790 @default.
• W4308985104 hasConcept C2777303404 @default.
• W4308985104 hasConcept C2777618391 @default.
• W4308985104 hasConcept C41008148 @default.
• W4308985104 hasConcept C44154836 @default.
• W4308985104 hasConcept C50522688 @default.
• W4308985104 hasConcept C541104983 @default.
• W4308985104 hasConcept C62520636 @default.
• W4308985104 hasConceptScore W4308985104C11413529 @default.
• W4308985104 hasConceptScore W4308985104C119599485 @default.
• W4308985104 hasConceptScore W4308985104C119857082 @default.
• W4308985104 hasConceptScore W4308985104C121332964 @default.
• W4308985104 hasConceptScore W4308985104C127413603 @default.
• W4308985104 hasConceptScore W4308985104C133199616 @default.
• W4308985104 hasConceptScore W4308985104C154945302 @default.
• W4308985104 hasConceptScore W4308985104C162324750 @default.
• W4308985104 hasConceptScore W4308985104C163258240 @default.
• W4308985104 hasConceptScore W4308985104C188573790 @default.
• W4308985104 hasConceptScore W4308985104C2777303404 @default.
• W4308985104 hasConceptScore W4308985104C2777618391 @default.

• next