{"id":"https://openalex.org/W4415014128","doi":"https://doi.org/10.1109/isc266238.2025.11293267","title":"Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management","display_name":"Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4415014128","doi":"https://doi.org/10.1109/isc266238.2025.11293267"},"language":"en","primary_location":{"id":"doi:10.1109/isc266238.2025.11293267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc266238.2025.11293267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.13905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050954473","display_name":"Tianheng Ling","orcid":"https://orcid.org/0000-0003-4603-8576"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tianheng Ling","raw_affiliation_strings":["University of Duisburg-Essen,Duisburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen,Duisburg,Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016683183","display_name":"Vipin Kumar Singh","orcid":"https://orcid.org/0000-0003-4537-1430"},"institutions":[{"id":"https://openalex.org/I129643931","display_name":"Berliner Hochschule f\u00fcr Technik","ror":"https://ror.org/00w7whj55","country_code":"DE","type":"education","lineage":["https://openalex.org/I129643931"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vipin Singh","raw_affiliation_strings":["Berlin University of Applied Sciences and Technology,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin University of Applied Sciences and Technology,Berlin,Germany","institution_ids":["https://openalex.org/I129643931","https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001344682","display_name":"Chao Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chao Qian","raw_affiliation_strings":["University of Duisburg-Essen,Duisburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen,Duisburg,Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024953386","display_name":"Felix Bie\u00dfmann","orcid":"https://orcid.org/0000-0002-3422-1026"},"institutions":[{"id":"https://openalex.org/I129643931","display_name":"Berliner Hochschule f\u00fcr Technik","ror":"https://ror.org/00w7whj55","country_code":"DE","type":"education","lineage":["https://openalex.org/I129643931"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Biessmann","raw_affiliation_strings":["Berlin University of Applied Sciences and Technology,Berlin,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin University of Applied Sciences and Technology,Berlin,Germany","institution_ids":["https://openalex.org/I129643931","https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028943371","display_name":"Gregor Schiele","orcid":"https://orcid.org/0000-0003-4266-4828"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Schiele","raw_affiliation_strings":["University of Duisburg-Essen,Duisburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen,Duisburg,Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050954473"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28236117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11119","display_name":"Urban Stormwater Management Solutions","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6775000095367432},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6019999980926514},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5473999977111816},{"id":"https://openalex.org/keywords/combined-sewer","display_name":"Combined sewer","score":0.45559999346733093},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4447999894618988},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4415000081062317},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4366999864578247},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.43560001254081726},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.414900004863739}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6775000095367432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765000224113464},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6019999980926514},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C2778583955","wikidata":"https://www.wikidata.org/wiki/Q361472","display_name":"Combined sewer","level":4,"score":0.45559999346733093},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4366999864578247},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.41280001401901245},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C2983177510","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Energy demand","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.29260000586509705},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isc266238.2025.11293267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc266238.2025.11293267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.13905","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.13905","pdf_url":"https://arxiv.org/pdf/2508.13905","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"pmh:oai:arXiv.org:2508.13905","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2508.13905","pdf_url":"https://arxiv.org/pdf/2508.13905","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"pmh:oai:bibliographie.ub.uni-due.de:ubo_mods_00239003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ISC266238.2025.11293267","pdf_url":null,"source":{"id":"https://openalex.org/S7407055102","display_name":"Universit\u00e4tsbibliographie, Universit\u00e4t Duisburg-Essen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Buchaufsatz/Kapitel"},{"id":"doi:10.48550/arxiv.2508.13905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.13905","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.13905","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.13905","pdf_url":"https://arxiv.org/pdf/2508.13905","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[],"awards":[{"id":"https://openalex.org/G4989070118","display_name":null,"funder_award_id":"01MD22007C,01MD22007H","funder_id":"https://openalex.org/F4303701741","funder_display_name":"Bundesministerium f\u00fcr Wirtschaft und Klimaschutz"}],"funders":[{"id":"https://openalex.org/F4303701741","display_name":"Bundesministerium f\u00fcr Wirtschaft und Klimaschutz","ror":"https://ror.org/02vgg2808"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415014128.pdf","grobid_xml":"https://content.openalex.org/works/W4415014128.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W4246295441","https://openalex.org/W4210334012","https://openalex.org/W3175791355","https://openalex.org/W3133990288","https://openalex.org/W4403863707","https://openalex.org/W4317651094","https://openalex.org/W3129768186","https://openalex.org/W4412741884","https://openalex.org/W4413755308","https://openalex.org/W4401019918","https://openalex.org/W4390908240","https://openalex.org/W4390943557","https://openalex.org/W4395028174","https://openalex.org/W4402674235","https://openalex.org/W4312910656","https://openalex.org/W4385763767","https://openalex.org/W2963122961","https://openalex.org/W4221082773","https://openalex.org/W4366975778","https://openalex.org/W3159567116","https://openalex.org/W4381746844","https://openalex.org/W4409351621","https://openalex.org/W4402674190","https://openalex.org/W4397031167"],"related_works":[],"abstract_inverted_index":{"Extreme":[0],"weather":[1],"events,":[2],"intensified":[3],"by":[4,115],"climate":[5],"change,":[6],"increasingly":[7],"challenge":[8],"aging":[9],"combined":[10,227],"sewer":[11,23,132,228],"systems,":[12],"raising":[13],"the":[14,134,162,194,236],"risk":[15],"of":[16,22,143,155],"untreated":[17],"wastewater":[18],"overflow.":[19],"Accurate":[20],"forecasting":[21,43,72],"overflow":[24],"basin":[25],"filling":[26],"levels":[27],"can":[28,232],"provide":[29],"actionable":[30],"insights":[31],"for":[32,97,111,205,211],"early":[33],"intervention,":[34],"helping":[35],"mitigating":[36],"uncontrolled":[37],"discharge.":[38],"In":[39,160,215],"recent":[40],"years,":[41],"AI-based":[42],"methods":[44],"have":[45],"offered":[46],"scalable":[47],"alternatives":[48],"to":[49,109,196,224],"traditional":[50],"physicsbased":[51],"models,":[52,92],"but":[53,179],"their":[54,60],"reliance":[55],"on":[56,79,123,130,140],"cloud":[57],"computing":[58],"limits":[59],"reliability":[61],"during":[62],"communication":[63],"outages.":[64],"To":[65],"address":[66],"this,":[67],"we":[68],"propose":[69],"an":[70,102,124,152],"end-to-end":[71],"framework":[73],"that":[74],"enables":[75,219],"energy-efficient":[76,221],"inference":[77],"directly":[78],"edge":[80],"devices.":[81],"Our":[82],"solution":[83],"integrates":[84],"lightweight":[85],"Transformer":[86,137,210],"and":[87,120,186],"Long":[88],"Short-Term":[89],"Memory":[90],"(LSTM)":[91],"compressed":[93],"via":[94],"integer-only":[95],"quantization":[96],"efficient":[98],"on-device":[99],"execution.":[100],"Moreover,":[101],"automated":[103],"hardwareaware":[104],"deployment":[105,201],"pipeline":[106],"is":[107],"used":[108],"search":[110],"optimal":[112,163],"model":[113,166,198],"configurations":[114],"jointly":[116],"minimizing":[117],"prediction":[118],"error":[119],"energy":[121,153,170,207],"consumption":[122,208],"AMD":[125],"Spartan-7":[126],"XC7S15":[127],"FPGA.":[128],"Evaluated":[129],"real-world":[131],"data,":[133],"selected":[135],"8-bit":[136,164],"model,":[138],"trained":[139],"24":[141],"hours":[142],"historical":[144],"measurements,":[145],"achieves":[146],"high":[147],"accuracy":[148,183],"(MSE":[149,184],"0.0376)":[150],"at":[151],"cost":[154],"0.370":[156],"mJ":[157],"per":[158],"inference.":[159],"contrast,":[161],"LSTM":[165,204],"requires":[167],"significantly":[168],"less":[169],"(0.009":[171],"mJ,":[172],"over":[173],"<tex":[174],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[175,239,241],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$40":[176],"\\times$</tex>":[177],"lower)":[178],"yields":[180],"14.89%":[181],"worse":[182],"0.0432)":[185],"much":[187],"longer":[188],"training":[189],"time.":[190],"This":[191],"trade-off":[192],"highlights":[193],"need":[195],"align":[197],"selection":[199],"with":[200],"priorities,":[202],"favoring":[203],"ultra-low":[206],"or":[209],"higher":[212],"predictive":[213],"accuracy.":[214],"general,":[216],"our":[217],"work":[218],"local,":[220],"forecasting,":[222],"contributing":[223],"more":[225],"resilient":[226],"systems.":[229],"All":[230],"code":[231],"be":[233],"found":[234],"in":[235],"GitHub":[237],"Repository<sup":[238],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[240],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>https://github.com/tianheng-ling/EdgeOverflowForecast.":[242]},"counts_by_year":[],"updated_date":"2026-04-25T06:01:18.069262","created_date":"2025-10-10T00:00:00"}