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SUMMARY:PHAROS Training Series - Course 10 "Time-Series Forecasting and Re
 newable Energy"
DTSTART;VALUE=DATE-TIME:20260710T080000Z
DTEND;VALUE=DATE-TIME:20260710T101000Z
DTSTAMP;VALUE=DATE-TIME:20260703T055901Z
UID:indico-event-215@events.grnet.gr
DESCRIPTION:\n\nPHAROS AI Factory announces the 10th Course of its Trainin
 g Series\, under the title "Time-Series Forecasting and Renewable Energy"\
 , under the topic Machine Learning\, held online via Zoom.\n\nDate: July 
 10th\, 2026\, at 12:00 EEST \n\nLocation: Online via Zoom\n\nPresentatio
 n Language: Greek\n\nAudience:  ML Engineers\, AI Engineers\, Data Scient
 ists\, Academic Researchers \n\nPrerequisites:  Machine learning\, Python
  \n\nLearning Objectives: \n\n- Develop and evaluate Machine Learning mo
 dels for day-ahead solar energy production forecasting. \n- Interpret for
 ecasting results using appropriate performance metrics and validation te
 chniques. \n- Understand the role of accurate renewable energy forecast
 ing in electricity markets and energy system operations. \n- Describe how
  renewable energy aggregators use forecasting to support market participat
 ion and grid stability. \n- Recognize the importance of effective data vi
 sualization and user interfaces for communicating forecasting results. \n
 - Apply best practices for designing end-to-end forecasting pipelines\, fr
 om data collection to model deployment. \n\nInstructors' profiles:\n\n\n	I
 oannis Vlahavas\, AUTH\n\n\nIoannis Vlahavas is a professor at the Departm
 ent of Informatics at the Aristotle University of Thessaloniki. He receive
 d his Ph.D. degree in Logic Programming Systems from the same University i
 n 1988. He has been a visiting scholar at the Department of CS at Purdue U
 niversity and in 2017 elected EurAI Fellow from the European Association f
 or Artificial Intelligence. He specializes in knowledge based and AI (mach
 ine learning) systems and he has published more than 400 papers and book c
 hapters and co-authored 9 books in these areas. Google scholar gives a num
 ber exceeding 21600 citations and an h-index of 60. He has successfully su
 pervised 19 PhD students\, and he has been involved in more than 50 resear
 ch and development projects\, leading most of them. He was Chairman of the
  school of Informatics at the Aristotle University (2013-2017)\, member of
  the steering committee and Dean of the School of Science and Technology o
 f the International Hellenic University (2007-2016) and member of the Sect
 oral Scientific Council in Artificial Intelligence (2025-today). He is cur
 rently leading the Intelligent Systems Lab. \n\nDetails in https://intell
 igence.csd.auth.gr/people/vlahavas/\n\nLinkedin: https://www.linkedin.com/
 in/ioannis-vlahavas/\n\n\n	Vasileios Kochliaridis\, AUTH\n\n\nVasileios Ko
 chliaridis graduated with a degree in Computer Engineering and Information
  Technology from the University of Ioannina\, and since 2021 has been a me
 mber of the Intelligent Systems Lab (ISL) and a Ph.D. candidate in the fie
 ld of Artificial Intelligence under the supervision of Professor Vlachava.
  The focus of his doctoral research is the development of intelligent agen
 ts for autonomous systems\, with a particular emphasis on financial data\,
  as well as on autonomous and intelligent systems. During his doctoral stu
 dies\, he has gained both technological and academic experience through re
 search projects and publications. In the technological field\, he has succ
 essfully contributed in the role of data scientist and deep learning resea
 rcher. Since 2022\, he has been the lead researcher in the development of 
 a tool for time series forecasting and the generation of synthetic data  
 for financial metrics\, as well as urban environment data and images\, usi
 ng GAN networks to train agents for the navigation of autonomous vehicles 
 within a simulation.\n\nMore information on his page: https://intelligenc
 e.csd.auth.gr/vasileios-kochliaridis-phd-student/\n\n\n	Anestis Ampatzidis
 \, EY & AUTH\n\n\nAnestis is an AI Consultant at EY and an Artificial Inte
 lligence Researcher at the Intelligent Systems Laboratory. He holds a Bach
 elor's degree in Computer Science and a Master's degree in Data and Web Sc
 ience from the Aristotle University of Thessaloniki\, with excellent acade
 mic performance. His expertise focuses on the development of integrated Ar
 tificial Intelligence systems for the energy sector. He has extensive rese
 arch and professional experience in time series forecasting\, for both ene
 rgy production and demand\, utilizing advanced Machine Learning models. Ad
 ditionally\, he has a strong background as a Machine Learning Engineer\, f
 ocusing on transforming models into comprehensive end-to-end solutions. He
  designs scalable cloud infrastructures and ensures the seamless integrati
 on of algorithms into production systems\, delivering reliable real-time p
 redictions.\n\nLinkedIn: linkedin.com/in/anestis-ampatzidis-a04415301 \n\
 nNote: Please enter your institutional/corporate email when registering.\n
 \n \n\nhttps://events.grnet.gr/event/215/
LOCATION:
URL:https://events.grnet.gr/event/215/
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