<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu</title>
<link>https://hdl.handle.net/20.500.12809/210</link>
<description/>
<pubDate>Sat, 27 Jun 2026 18:46:03 GMT</pubDate>
<dc:date>2026-06-27T18:46:03Z</dc:date>
<item>
<title>Cost-optimal day-ahead scheduling of multi-energy systems with micro-mobility</title>
<link>https://hdl.handle.net/20.500.12809/11227</link>
<description>Cost-optimal day-ahead scheduling of multi-energy systems with micro-mobility
Noorzad, Najmuddin; Taşcıkaraoğlu, Akın; Catalao, Joao P. S
The escalating demand for energy necessitates the exploration of innovative solutions. In this context, Multi-Energy Systems (MESs) emerge as a promising and efficient approach for delivering diverse energy services, such as heating, cooling, and electricity, to end users. Determining the optimal configuration of an MES requires a holistic evaluation encompassing its constituent components, prevailing energy prices, and load demands. This study investigates an MES incorporating Combined Heat and Power (CHP) units, Heat Pumps (HPs), Renewable Energy Sources (RESs), Community Energy Storage (CES), multi-energy demands, and micro-mobility options such as electric scooters (e-scooters). The primary objective of the study is to minimise operational costs and improve system efficiency while satisfying all energy demands. This objective is pursued by evaluating the optimal MES operation under different electricity tariffs, adhering to associated constraints throughout the operation period. Furthermore, the cost-effectiveness of e-scooters and their charging impacts on the power network operation are assessed. The proposed strategy is thoroughly implemented across case studies, and simulation results show a 21.05% reduction in operational costs compared to the base case.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12809/11227</guid>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>A Novel and Compact Subnanosecond Pulse Generator Using Complementary RF BJTs</title>
<link>https://hdl.handle.net/20.500.12809/11216</link>
<description>A Novel and Compact Subnanosecond Pulse Generator Using Complementary RF BJTs
Telli, Emrah; Yıldırım, Bahadır Süleyman
A novel and compact subnanosecond pulse generator circuit has been designed and built using ultra high frequency (UHF) band negative-positive-negative (NPN) and positive-negative-positive (PNP) RF bipolar junction transistors (BJTs). The simulated and calculated output pulse amplitude is about 1.1 V on a 50-Omega load, and the pulsewidth is about 210 ps. The proposed design does not have a base bias, as in conventional single-transistor step-recovery effect (SRE) BJT pulse generators. The dual-transistor action produces very short pulsewidths without base bias. Fabricated prototypes have been measured using a spectrum analyzer. Simulations and measurements are found to be in good agreement.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12809/11216</guid>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Economic Operation of a Multi-Energy System Considering the Impacts of Micro-Mobility</title>
<link>https://hdl.handle.net/20.500.12809/11041</link>
<description>Economic Operation of a Multi-Energy System Considering the Impacts of Micro-Mobility
Taşçıkaraoğlu, Akın; Noorzad, Najmuddin; Catalao, Joao P. S
The increasing and uncontrolled demand for energy has led to the emergence of a multi-energy system (MES), which is a promising and efficient way of providing multiple energy services to end-users, such as electricity, heating and cooling. The determination of the optimal MES configuration involves a comprehensive assessment of the entire system, including its various components, load demands, and energy prices. This study focuses on an MES that comprises renewable energy sources (RESs), heat pumps (HPs), combined heat and power units (CHPs), community energy storage (CES), micro-mobility such as electric scooters (e-scooters), and multi-energy demands. To optimize the economic operation of the considered MES, several factors need to be taken into account, especially for considering the impacts of micro-mobility. The target of the study is to maximize the efficiency of the system and minimize the operation costs when the load demands are met. The study also evaluates the optimal operation of the MES, taking the time-of-use (TOU) and non-TOU electricity tariff into account and considering the relevant constraints throughout the operation horizon. Additionally, the economic and charging impacts of e-scooters are evaluated on the system. The proposed optimization algorithm is conducted for different case studies and based on the findings, the simulation results clearly demonstrate the effectiveness of the system.
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12809/11041</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Adaptive MIMO fuzzy PID controller based on peak observer</title>
<link>https://hdl.handle.net/20.500.12809/10916</link>
<description>Adaptive MIMO fuzzy PID controller based on peak observer
Uçak, Kemal; Arslantürk, Beyza Nur
In this paper, a novel peak observer based adaptive multi-input multi-output (MIMO) fuzzy proportional-integral-derivative (PID) controller has been introduced for MIMO time delay systems. The adaptation mechanism proposed by Qiao and Mizumoto [1] for single-input single-output (SISO) systems has been enhanced for MIMO system adaptive control. The tracking, stabilization and disturbance rejection performances of the proposed adaptation mechanism have been evaluated for MIMO systems by comparing with non-adaptive fuzzy PID and classical PID controllers. The obtained results indicate that the introduced adjustment mechanism for MIMO fuzzy PID controller can be successfully deployed for MIMO time delay systems.
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12809/10916</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
