BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Central BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260206T042806Z UID:3C827F75-5FBC-4382-AC6A-780E20A2C642 DTSTART;TZID=US/Central:20260205T170000 DTEND;TZID=US/Central:20260205T193000 DESCRIPTION:Modern power systems increasingly rely on data-driven tools for load analysis\, monitoring\, and operational decision-making. However\, u tilities and system operators often face practical challenges such as limi ted data availability\, missing measurements\, privacy constraints\, and d ifficulty capturing rare but critical events. These issues directly limit the effectiveness of advanced analytics in real-world deployments. This ta lk presents a series of generative and data-driven methods developed to ad dress these challenges using real utility data. First\, MultiLoad-GAN is i ntroduced to generate realistic synthetic load profiles that preserve temp oral behavior and customer-level diversity\, enabling large-scale studies without exposing sensitive data. Second\, BERT-PIN and related language-mo del-based approaches are demonstrated for restoring missing smart meter da ta\, improving data quality for downstream tasks such as load forecasting and planning. Third\, the application of pre-trained large language models (LLMs) is discussed\, showing how they can be adapted for power system ti me-series problems with reduced data and training requirements. Finally\, a VAE–GAN framework is presented for event detection and classification using synchrophasor data\, enabling early identification of abnormal syste m behavior.\n\nThis presentation will count for 1 Professional Development Hour (PDH) for the PE License in Wisconsin and Michigan.\n\nSpeaker(s): D r. Yi Hu \, \n\nAgenda: \n5:00 Featured Speaker - Dr. Yi Hu\n\nD.J. Bordin i Center at FVTC\n\n6:30 pm CST Social-Happy Hour at Cheddar's Scratch Kit chen\n4531 W Wisconsin Ave\nAppleton\, WI\n\n6:45 pm CST Dinner at Cheddar 's Scratch Kitchen\nCost: $20\, payable at registration\n\n7:00 pm CST Sho rt business meeting\nDoor prize drawing\n\nRoom: BC112A\, Bldg: D.J. Bordi ni Center at FVTC\, 5 N. Systems Drive\, Appleton\, Wisconsin\, United Sta tes\, 54914 LOCATION:Room: BC112A\, Bldg: D.J. Bordini Center at FVTC\, 5 N. Systems Dr ive\, Appleton\, Wisconsin\, United States\, 54914 ORGANIZER:blluchs@ieee.org SEQUENCE:113 SUMMARY:Data-Centric Power System Analysis with Generative Models URL;VALUE=URI:https://events.vtools.ieee.org/m/533696 X-ALT-DESC:Description: <br /><p class="MsoNormal"><span style="font-size: 12.0pt\; line-height: 115%\; font-family: 'Aptos'\,sans-serif\; mso-ascii- theme-font: minor-latin\; mso-fareast-font-family: Aptos\; mso-fareast-the me-font: minor-latin\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-f amily: 'Times New Roman'\; mso-bidi-theme-font: minor-bidi\; mso-ansi-lang uage: EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;">&n bsp\;<img style="display: block\; margin-left: auto\; margin-right: auto\; " src="https://events.vtools.ieee.org/vtools_ui/media/display/10f85f60-773 d-4455-990d-88aa8a9dcf2a" width="536" height="258"></span></p>\n<p class=" MsoNormal"><span style="font-size: 12pt\; line-height: 115%\; font-family: arial\, helvetica\, sans-serif\;">Modern power systems increasingly rely on data-driven tools for load analysis\, monitoring\, and operational deci sion-making. However\, utilities and system operators often face practical challenges such as limited data availability\, missing measurements\, pri vacy constraints\, and difficulty capturing rare but critical events. Thes e issues directly limit the effectiveness of advanced analytics in real-wo rld deployments. This talk presents a series of generative and data-driven methods developed to address these challenges using real utility data. Fi rst\, MultiLoad-GAN is introduced to generate realistic synthetic load pro files that preserve temporal behavior and customer-level diversity\, enabl ing large-scale studies without exposing sensitive data. Second\, BERT-PIN and related language-model-based approaches are demonstrated for restorin g missing smart meter data\, improving data quality for downstream tasks s uch as load forecasting and planning. Third\, the application of pre-train ed large language models (LLMs) is discussed\, showing how they can be ada pted for power system time-series problems with reduced data and training requirements. Finally\, a VAE&ndash\;GAN framework is presented for event detection and classification using synchrophasor data\, enabling early ide ntification of abnormal system behavior. &nbsp\;</span></p>\n<p><span styl e="font-family: arial\, helvetica\, sans-serif\; font-size: 12pt\;">This p resentation will count for 1 Professional Development Hour (PDH) for the P E License in Wisconsin and Michigan.</span></p>\n<p><img src="https://even ts.vtools.ieee.org/vtools_ui/media/display/20f1de03-9f2a-4b47-92b3-4254907 be979" width="404" height="226"> <img src="https://events.vtools.ieee.org/ vtools_ui/media/display/f4dd5910-2602-4e48-a5d5-be6f2cf94acd" width="402" height="226"></p><br /><br />Agenda: <br /><p><span style="font-family: ar ial\, helvetica\, sans-serif\; font-size: 12pt\;">5:00 Featured Speaker - Dr. Yi Hu</span></p>\n<p><span style="font-family: arial\, helvetica\, san s-serif\; font-size: 12pt\;">&nbsp\; &nbsp\; &nbsp\; &nbsp\; D.J. Bordini Center at FVTC<br>&nbsp\; &nbsp\; &nbsp\; &nbsp\; <img src="https://events .vtools.ieee.org/vtools_ui/media/display/bf7f587a-a42b-4fba-ba9c-a5e6b8094 b72" width="643" height="567"></span></p>\n<p>&nbsp\; &nbsp\; &nbsp\; &nbs p\; <img src="https://events.vtools.ieee.org/vtools_ui/media/display/52d2d f42-82b0-48d8-b385-24ed60b8c746" width="640" height="215"></p>\n<p><span s tyle="font-family: arial\, helvetica\, sans-serif\; font-size: 12pt\;">6:3 0 pm CST&nbsp\; &nbsp\;Social-Happy Hour at Cheddar's Scratch Kitchen</spa n><br><span style="font-family: arial\, helvetica\, sans-serif\; font-size : 12pt\;">&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; 4531 W Wisconsin Ave</span><br><span style ="font-family: arial\, helvetica\, sans-serif\; font-size: 12pt\;">&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; & nbsp\; &nbsp\; Appleton\, WI</span></p>\n<p><span style="font-family: aria l\, helvetica\, sans-serif\; font-size: 12pt\;">6:45 pm CST&nbsp\; &nbsp\; Dinner at Cheddar's Scratch Kitchen</span><br><span style="font-family: ar ial\, helvetica\, sans-serif\; font-size: 12pt\;">&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Co st: $20\, payable at registration&nbsp\;</span></p>\n<p><span style="font- family: arial\, helvetica\, sans-serif\; font-size: 12pt\;">7:00 pm CST&nb sp\; &nbsp\;Short business meeting<br>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Door prize dra wing</span><br><br></p> END:VEVENT END:VCALENDAR