{"id":"https://openalex.org/W7202086820","doi":"https://doi.org/10.1016/j.ijhydene.2026.156879","title":"A statistical and machine learning framework for operational threshold detection and deployable dispatch controller development in hydrogen multi-energy systems","display_name":"A statistical and machine learning framework for operational threshold detection and deployable dispatch controller development in hydrogen multi-energy systems","publication_year":2026,"publication_date":"2026-08-10","ids":{"openalex":"https://openalex.org/W7202086820","doi":"https://doi.org/10.1016/j.ijhydene.2026.156879"},"language":"en","primary_location":{"id":"doi:10.1016/j.ijhydene.2026.156879","doi":"https://doi.org/10.1016/j.ijhydene.2026.156879","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijhydene.2026.156879","pdf_url":null,"source":{"id":"https://openalex.org/S48860480","display_name":"International Journal of Hydrogen Energy","issn_l":"0360-3199","issn":["0360-3199","1879-3487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hydrogen Energy","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2606.14601","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094134660","display_name":"Shadi Heenatigala","orcid":"https://orcid.org/0000-0002-2483-7855","observed_orcids":["https://orcid.org/0000-0002-2483-7855"]},"institutions":[{"id":"https://openalex.org/I99871819","display_name":"Antioch College","ror":"https://ror.org/00bmb8a49","country_code":"US","type":"education","lineage":["https://openalex.org/I99871819"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shadi Heenatigala","raw_affiliation_strings":["Antioch College, Yellow Springs, OH, 45387, USA"],"raw_orcid":"https://orcid.org/0000-0002-2483-7855","affiliations":[{"raw_affiliation_string":"Antioch College, Yellow Springs, OH, 45387, USA","institution_ids":["https://openalex.org/I99871819"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138682916","display_name":"Hasanika Samarasinghe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405260018","display_name":"University of Vocational Technology","ror":"https://ror.org/032vwca88","country_code":"LK","type":"education","lineage":["https://openalex.org/I4405260018"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Hasanika Samarasinghe","raw_affiliation_strings":["University College of Batangala - University of Vocational Technology, Batangala, 70612, Sri Lanka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College of Batangala - University of Vocational Technology, Batangala, 70612, Sri Lanka","institution_ids":["https://openalex.org/I4405260018"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5094134660"],"corresponding_institution_ids":["https://openalex.org/I99871819"],"apc_list":{"value":3730,"currency":"USD","value_usd":3730},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"265","issue":null,"first_page":"156879","last_page":"156879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.01810000091791153,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dispatch-control","display_name":"dispatch control","score":0.7099999785423279},{"id":"https://openalex.org/keywords/hydrogen-production","display_name":"hydrogen production","score":0.7799999713897705},{"id":"https://openalex.org/keywords/renewable-energy-availability","display_name":"renewable energy availability","score":0.656000018119812},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"solar irradiance","score":0.925000011920929},{"id":"https://openalex.org/keywords/wind-power-generation","display_name":"wind power generation","score":0.953000009059906},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.4490000009536743},{"id":"https://openalex.org/keywords/ddpg","display_name":"deep deterministic policy gradient","score":0.8870000243186951},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086000204086304},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5918999910354614},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49219998717308044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47690001130104065},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C202189072","wikidata":"https://www.wikidata.org/wiki/Q1929999","display_name":"Hydrogen production","level":3,"score":0.4235000014305115},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C2779915298","wikidata":"https://www.wikidata.org/wiki/Q7604400","display_name":"Statistical learning theory","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.ijhydene.2026.156879","doi":"https://doi.org/10.1016/j.ijhydene.2026.156879","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ijhydene.2026.156879","pdf_url":null,"source":{"id":"https://openalex.org/S48860480","display_name":"International Journal of Hydrogen Energy","issn_l":"0360-3199","issn":["0360-3199","1879-3487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hydrogen Energy","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2606.14601","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.14601","pdf_url":"https://arxiv.org/pdf/2606.14601","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2606.14601","doi":"https://doi.org/10.48550/arxiv.2606.14601","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14601","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2606.14601","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.14601","pdf_url":"https://arxiv.org/pdf/2606.14601","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":1.0},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.8970999717712402},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.821399986743927}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202086820.pdf","grobid_xml":"https://content.openalex.org/works/W7202086820.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2014538668","https://openalex.org/W2064675550","https://openalex.org/W2911964244","https://openalex.org/W3067957374","https://openalex.org/W3155964007","https://openalex.org/W4220668651","https://openalex.org/W4391016103","https://openalex.org/W4399177815","https://openalex.org/W4399726772","https://openalex.org/W4401486222","https://openalex.org/W4404725638","https://openalex.org/W7114805161"],"related_works":["https://openalex.org/W7160641867","https://openalex.org/W4320919184","https://openalex.org/W4396884113","https://openalex.org/W7167901565","https://openalex.org/W4360995636","https://openalex.org/W7166776372","https://openalex.org/W7165660431","https://openalex.org/W7211889938","https://openalex.org/W7163911758","https://openalex.org/W7128437505"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-10T00:00:00"}