Search
Skip to Search Results- 22Musilek, Petr (Electrical and Computer Engineering)
- 1Abourizk, Simon (Civil and Environmental Engineering)
- 1Gul, Mustafa (Civil Engineering)
- 1Khazaei, Hamzeh (Electrical Engineering and Computer Science, York University)
- 1Khazaei, Hamzeh (Electrical and Computer Engineering)
- 1Knight, Andrew (Electrical and Computer Engineering)
- 1Atrazhev, Peter
- 1Avkhimenia, Vadim
- 1Fan, Caixiang
- 1Fateminia, Seyed Hamed
- 1Filimonenkov, Konstantin
- 1Ghaemi, Sara
- 2Blockchain
- 2Distributed Energy Resources
- 2Energy Management
- 2Performance Evaluation
- 2Reinforcement Learning
- 2Reinforcement learning
-
Fall 2014
Data collection is difficult in remote locations due to limited access and scarce resources. To power environmental monitoring equipment, and allow it to operate independently of maintenance and infrastructure, energy can be harvested from the environment; however, this makes the system dependent...
-
Spring 2014
Weather forecasting is one of the most vital tasks in many applications ranging from severe weather hazard systems to energy production. Numerical weather prediction (NWP) systems are commonly used state-of-the-art atmospheric models that provide point forecasts as deterministic predictions...
-
Fall 2021
Climate change concerns have raised awareness about the importance of decarbonizing the power sector. In achieving such a goal, energy storage is a critical operation that is currently done using mostly fossil fuels as chemical energy storage. The only viable alternative is battery energy storage...
-
Fall 2020
The increasingly heavy standardization of distribution overhead powerline installations presents an opportunity for the automated design of distribution overhead powerline pole structures, attachments and conductor spans. A successful design automation algorithm must be capable of generating...
-
Fall 2017
A wireless sensor network is a tool that can collect data, aiding in answering a number of different questions in research and industrial environments. When deployed in remote locations, it is often beneficial to use of energy harvesting technologies, allowing sensor nodes to replenish energy...
-
Spring 2024
The increasing demand for electricity driven by the widespread adoption of electric vehicles necessitates effective distribution network reconfiguration methods. However, existing distribution network reconfiguration approaches often rely on precise network parameters, leading to scalability and...
-
Reinforcement Learning-Driven Local Transactive Energy Market for Distributed Energy Resources
DownloadFall 2023
Technological breakthroughs in renewable power generation, battery storage, electric mobility, and advanced data logistics are changing the electric grid. The huge influx of distributed energy resources (DERs), while important to curb carbon emissions, is not without consequences. The highly...
-
Sizing, Operation, and Evaluation of Battery Energy Storage with Dynamic Line Rating and Deep Learning
DownloadSpring 2023
Integration of renewables has the potential to reduce society’s reliance on carbon-based fuels. Sizing renewable-energy installations is key to making a successful business case for the construction of new assets. Dynamic thermal line rating is the amount of current in real-time that a...
-
Fall 2021
Due to the growing penetration of renewable energy sources, accurate energy forecasts are required to support their effective integration. In this field, deep learning methods are currently demonstrating successful results, but there is still a room for improvement that may eventually lead to...
-
Fall 2011
One of the ways to improve electric power transmission systems is to efficiently utilize the capacity of the existing power circuits. That can be achieved by increasing the thermal ratings of the transmission lines. In this research, weather-based rating approaches were studied. Static thermal...