{"_id":"HfyBdv22TZHkKJdHB","bibbaseid":"khortsriwong-boonraksa-boonraksa-fangsuwannarak-boonsrirat-pinthurat-marungsri-performanceofdeeplearningtechniquesforforecastingpvpowergenerationacasestudyona15mwpfloatingpvpowerplant-2023","author_short":["Khortsriwong, N.","Boonraksa, P.","Boonraksa, T.","Fangsuwannarak, T.","Boonsrirat, A.","Pinthurat, W.","Marungsri, B."],"bibdata":{"bibtype":"article","type":"article","title":"Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant","author":[{"propositions":[],"lastnames":["Khortsriwong"],"firstnames":["Nonthawat"],"suffixes":[]},{"propositions":[],"lastnames":["Boonraksa"],"firstnames":["Promphak"],"suffixes":[]},{"propositions":[],"lastnames":["Boonraksa"],"firstnames":["Terapong"],"suffixes":[]},{"propositions":[],"lastnames":["Fangsuwannarak"],"firstnames":["Thipwan"],"suffixes":[]},{"propositions":[],"lastnames":["Boonsrirat"],"firstnames":["Asada"],"suffixes":[]},{"propositions":[],"lastnames":["Pinthurat"],"firstnames":["Watcharakorn"],"suffixes":[]},{"propositions":[],"lastnames":["Marungsri"],"firstnames":["Boonruang"],"suffixes":[]}],"journal":"Energies","volume":"16","number":"5","pages":"2119","year":"2023","publisher":"MDPI","bibtex":"@article{khortsriwong2023performance,\n title={Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant},\n author={Khortsriwong, Nonthawat and Boonraksa, Promphak and Boonraksa, Terapong and Fangsuwannarak, Thipwan and Boonsrirat, Asada and Pinthurat, Watcharakorn and Marungsri, Boonruang},\n journal={Energies},\n volume={16},\n number={5},\n pages={2119},\n year={2023},\n publisher={MDPI}\n}\n\n","author_short":["Khortsriwong, N.","Boonraksa, P.","Boonraksa, T.","Fangsuwannarak, T.","Boonsrirat, A.","Pinthurat, W.","Marungsri, B."],"key":"khortsriwong2023performance","id":"khortsriwong2023performance","bibbaseid":"khortsriwong-boonraksa-boonraksa-fangsuwannarak-boonsrirat-pinthurat-marungsri-performanceofdeeplearningtechniquesforforecastingpvpowergenerationacasestudyona15mwpfloatingpvpowerplant-2023","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/HnQC7A6C8WxhqExKR/EE_Boonruang_Marungsri.bib","dataSources":["boAGFxomWjWKmiXX6"],"keywords":[],"search_terms":["performance","deep","learning","techniques","forecasting","power","generation","case","study","mwp","floating","power","plant","khortsriwong","boonraksa","boonraksa","fangsuwannarak","boonsrirat","pinthurat","marungsri"],"title":"Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant","year":2023}