Mr. Vasileios Laitsos, University of Thessaly, Greece
Mr. Vasileios Laitsos is an accomplished researcher and electrical engineer from Greece, currently pursuing a PhD at the University of Thessaly, Department of Electrical and Computer Engineering, Volos. His research focuses on developing innovative forecasting models for electricity demand and wholesale electricity prices using artificial intelligence, particularly leveraging Python and the TensorFlow platform.
Education:
PhD in Electrical and Computer Engineering (July 2020 – Present)
University of Thessaly, Volos
Research Focus: AI-driven forecasting models for electricity demand and pricing.
Master’s in Smart Grid Energy Systems (October 2019 – February 2021)
University of Thessaly, Volos
Graduated as Valedictorian with a GPA of 9.63/10.
Thesis: “The Modern Power System from a Different Approach: Impact of Demand Side Management Methods.”
Diploma in Electrical and Computer Engineering (October 2011 – June 2017)
Aristotle University of Thessaloniki, Thessaloniki
GPA: 7.43/10.
Thesis: “Wind Power Forecasting using Support Vector Machines and Artificial Neural Networks.”
Professional Profiles:
ORCID Profile
Professional Experience:
Mr. Laitsos has a diverse professional background, with extensive experience in both research and industry. He currently serves as a Research Associate at HEDNO S.A. in Volos, where he contributes to European Union scientific programs such as ENFLATE and CENTAVROS, which focus on optimizing energy distribution systems. Concurrently, he is a Machine Learning Researcher for the ELVIS Research Project, working on developing a prototype integrated tool for managing the smart charging of electric vehicles by an EV Aggregator.
Previously, Mr. Laitsos served as a Technical Manager at Hellenic Dairies S.A., overseeing the electrical and electronic maintenance of the packaging department, leading a team of seven technicians, and managing two major projects. His earlier roles include Electrical Maintenance Engineer at Hellenic Halyvourgia S.A., where he gained hands-on experience with electrical circuits, AC/DC motors, and PLC systems, and an Electrical Engineer Internship at VIS S.A., where he familiarized himself with industrial electrical panels and machinery.
Skills and Achievements:
Mr. Laitsos possesses a comprehensive skill set, including expertise in machine learning, Python programming, TensorFlow, electrical circuit design, PLC systems, and energy system optimization. His leadership skills, team management experience, and ability to bridge the gap between theoretical research and practical implementation have been instrumental in his career. He is fluent in English and Greek and holds a valid driving license.
Publications:
1. The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market
Journal: Energies
Publication Date: November 2024
DOI: 10.3390/en17225797
Contributors: Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri Tsoukalas
Source: Multidisciplinary Digital Publishing Institute
2. Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting
Journal: Electronics
Publication Date: May 2024
DOI: 10.3390/electronics13101996
Contributors: Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, Dimitrios Bargiotas, Lefteri Tsoukalas
Source: Multidisciplinary Digital Publishing Institute
3. Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method
Journal: Dynamics
Publication Date: May 2024
DOI: 10.3390/dynamics4020020
Contributors: Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, Dimitrios Bargiotas, Theodoros Karakasidis
Source: Multidisciplinary Digital Publishing Institute
4. State-of-the-Art of Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market
Type: Working Paper
DOI: 10.20944/preprints202411.0165.v1
Source: Multidisciplinary Digital Publishing Institute
Conclusion: