CS Other Presentations

Department of Computer Science - University of Cyprus

Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):
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Presentations Coordinator: Demetris Zeinalipour

PhD Defense: A Data-driven IoT Architecture for Self-Consumption of Renewable Energy, Mr. Soteris Constantinou (University of Cyprus, Cyprus), Tuesday, July 2, 2024, 10:00-11:00 EEST.

The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:

A Data-driven IoT Architecture for Self-Consumption of Renewable Energy

Speaker: Mr. Soteris Constantinou
Affiliation: University of Cyprus, Cyprus
Category: PhD Defense
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Tuesday, July 2, 2024
Time: 10:00-11:00 EEST
Host: Dr. George Pallis (gpallis-AT-ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/presentations.php?speaker=cs.ucy.pres.2024.constantinou

The rapid proliferation of Internet of Things (IoT) devices has revolutionized smart environments, permeating diverse domains such as smart-homes, smart-cars, and various other smart entities. The focus on energy efficiency has become paramount, driven by the global energy crisis, the Earth’s rising temperatures, and the urgent need to reduce CO2 emissions, mitigating the severe consequences of climate change. The advancement of renewable energy infrastructure in smart environments (e.g., photovoltaic) has highlighted the importance of energy self-consumption by energy-demanding IoT-enabled devices (e.g., heating/cooling, electromobility, appliances), which refers to the process of intelligently consuming energy at the time it is available. Existing Home Energy Management System (HEMS) solutions face convergence difficulties due to the management of multiple IoT devices tackling multi-objective problems. Additionally, the scheduling optimization of devices can be very challenging due to the unsophisticated user-defined preference rules, while also aiming to avoid peak demand periods. Further, with respect to Electric Vehicles (EVs) charging process, existing solutions focus only on providing the nearest charging locations, thus, ignoring chargers’ renewable production, missing this way a crucial opportunity for sustainable and environmentally conscious energy consumption. In this PhD thesis, we present GreenHub Architecture, a novel data-driven IoT architecture that focuses on sustainable scheduling of IoT operations in smart homes, and EV charging by leveraging renewable energy sources, optimizing charging strategies, and reducing operational costs. Particularly, GreenHub Architecture consists of three modules: (i) GreenPlanner; (ii) GreenCap; and (iii) EcoCharge. Both GreenPlanner and GreenCap, fall under HEMS, where can efficiently balance the trade-off between the imported energy from the grid, energy-consumption, users’ comfort, and CO2 emissions. GreenPlanner focuses on “long-term” planning, meaning that will compute a whole year plan by doing less complex daily computations. In contrast, GreenCap emphasizes on “daily” planning as it attempts to find the best combination for allocating and shifting appliances during a day by minimizing the imported energy from the grid, while considering high demand and energy production times. Furthermore, the EcoCharge module falls under smart mobility, whose main objective is to allow drivers recharge their EVs from the most environmentally friendly chargers over an intelligent energy hoarding technique, while considering various Estimated Components (ECs) such as, availability, derouting cost, and available power generated.

Short Bio:
Soteris Constantinou is a full-time Ph.D. Candidate and a Research Assistant at the Department of Computer Science (UCY), being involved in research at the Data Management Systems Laboratory (DMSL). He holds a B.Sc. degree in Computer Science (2016-First Class Honours) from the University of South Wales, UK. His research interests include data management and sustainability, particularly Internet-of-Things (IoT) data management, smart homes/cities, energy efficient applications, and green-energy planning taking into consideration the reduction of CO2 emissions. Soteris has contributed extensively to open source projects for sustainable home energy management systems and mobility-based planning techniques for charging electric vehicles. For more information please visit: https://www.cs.ucy.ac.cy/~sconst01/

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