Browsing NTNU Open by Author "Cali, Umit"
Now showing items 21-37 of 37
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LCOE-Based Pricing for DLT-Enabled Local Energy Trading Platforms
Dynge, Marthe Fogstad; Halden, Ugur; Klæboe, Gro; Cali, Umit (Peer reviewed; Journal article, 2022)Support schemes like the Feed-in-Tariff (FiT) have for many years been an important driver for the deployment of distributed energy resources, and the transition from consumerism to prosumerism. This democratization and ... -
Local electricity market pricing mechanisms’ impact on welfare distribution, privacy and transparency
Dynge, Marthe Fogstad; Berg, Kjersti; Bjarghov, Sigurd Nikolai; Cali, Umit (Journal article; Peer reviewed, 2023)Local energy communities and electricity markets have emerged as possibilities for interaction among prosumers. A substantial effort has been invested into creating efficient pricing mechanisms for various market arrangements, ... -
Machine Learning for PV System Operational Fault Analysis: Literature Review
Zenebe, Tarikua Mekashaw; Midtgård, Ole-Morten; Völler, Steve; Cali, Umit (Chapter, 2022)This review paper aims to discover the research gap and assess the feasibility of a holistic approach for photovoltaic (PV) system operational fault analysis using machine learning (ML) methods. The analysis includes the ... -
Maximizing self-consumption rates and power quality towards two-stage evaluation for solar energy and shared energy storage empowered microgrids
Tercan, Said Mirza; Demirci, Alpaslan; Gokalp, Erdin; Cali, Umit (Peer reviewed; Journal article, 2022)Substantial penetration levels of intermittent and fluctuated renewable energy resources like PV can cause overcapacity and other operational challenges in the grid. Therefore, energy market actors are directed to the ... -
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals
Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Evren, Catak; Cali, Umit (Peer reviewed; Journal article, 2023)Cellular networks (LTE, 5G, and beyond) are dramatically growing with high demand from consumers and more promising than the other wireless networks with advanced telecommunication technologies. The main goal of these ... -
Novel donation sharing mechanisms under smart energy cyber-physical-social system and DLT to contend the energy poverty problem
Cali, Umit; Cakir, Ozan (Peer reviewed; Journal article, 2021)The objective of this study is to introduce a new use case under smart energy cyber-physical-social system (CPSS) that brings together the competence of distributed ledger technology (DLT) and essence of peer-to-peer local ... -
Offshore wind farm site selection in Norway: Using a fuzzy trigonometric weighted assessment model
Cali, Umit; Kantar, Emre; Pamučar, Dragan; Deveci, Muhammet; Taylor, Peter; Campos-Gaona, David; Anaya Lara, Olimpo; Tande, John Olav Giæver (Peer reviewed; Journal article, 2024)Maximising the energy potential of offshore wind farms requires an in-depth assessment of technological, economic, sociopolitical, and environmental aspects. Given the large economic impact of large-scale projects, a robust ... -
An overview of bidirectional electric vehicles charging system as a Vehicle to Anything (V2X) under Cyber–Physical Power System (CPPS)
Elma, Onur; Cali, Umit; Kuzlu, Murat (Peer reviewed; Journal article, 2022)Nowadays, EVs are rapidly increasing in popularity, and are accepted as the vehicles of the future all over the world. The most important components are their battery and charging systems. The energy capacity of EVs’ ... -
Potential impacts of blockchain based equity crowdfunding on the economic feasibility of offshore wind energy investment
Cali, Umit; Stekli, Joseph (Peer reviewed; Journal article, 2020)This paper explores the potential to reduce the levelized cost of electricity (LCOE) of offshore wind technology through the use of digitalized financial innovations made possible by Distributed Ledger Technology (DLT). ... -
Prioritizing Energy Blockchain Use Cases Using Type-2 Neutrosophic Number-Based EDAS
Cali, Umit; Deveci, Muhammet; Saha, Shammya Shananda; Halden, Ugur; Smarandache, Florentin (Peer reviewed; Journal article, 2022)The modern power systems are evolving in parallel to the development of other technological trends such as decarbonization and digitalization. While the penetration of renewable energy resources is increasing within the ... -
Quantification of the Impact of Azimuth and Tilt Angle on the Performance of a PV Output Power Forecasting Model for BIPVs
Dimd, Berhane Darsene; Völler, Steve; Midtgård, Ole-Morten; Cali, Umit; Sevault, Alexis Gerard Edouard (Journal article; Peer reviewed, 2023)Building integrated photovoltaics (BIPVs) have become increasingly popular in urban areas due to their potential to provide zero-emission energy in buildings. BIPVs enable the use of MO of photovoltaic (PV) modules, resulting ... -
Quantifying fairness in Local Energy Markets
Anfinnsen, Erlend Nilsen (Master thesis, 2023)Integreringen av fornybare energikilder, som er avgjørende for å nå FNs bærekraftsmål, byr på utfordringer hvis den ikke forvaltes riktig innenfor dagens strømnett. Lokale energimarkeder (LEMs) dukker opp som et potensielt ... -
A Review of Machine Learning-Based Photovoltaic Output Power Forecasting: Nordic Context
Dimd, Berhane Darsene; Völler, Steve; Cali, Umit; Midtgård, Ole-Morten (Peer reviewed; Journal article, 2022)Motivated by factors such as the reduction in cost and the need for a shift towards achieving UN’s Sustainable Development Goals, PV (Photovoltaic) power generation is getting more attention in the cold regions of the ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Unal, Devrim (Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Catak, Ferhat Özgur; Cali, Umit; Kuzlu, Murat; Sarp, Salih (Peer reviewed; Journal article, 2023)With the rise of intelligent applications, such as self-driving cars and augmented reality, the security and reliability of wireless communication systems have become increasingly crucial. One of the most critical components ... -
Use of Forecasting in Energy Storage Applications: A Review
Sharma, Vinayak; Cortes, Andres; Cali, Umit (Peer reviewed; Journal article, 2021)During the last decade there has been a major shift towards renewable energy sources to fulfill the increasing demand for energy in a sustainable manner. However, a major challenge with renewable energy generation is its ... -
An XAI approach for COVID-19 detection using transfer learning with X-ray images
Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023)The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...