Medium-to long-term nickel price forecasting using LSTM and GRU networks
AC Ozdemir, K Buluş, K Zor - Resources Policy, 2022 - Elsevier
Recently, nickel is a critical metal for manufacturing stainless steel, rechargeable electric
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
Exploring artificial intelligence methods for energy prediction in healthcare Facilities: An In-Depth extended systematic review
M FatehiJananloo, H Stopps, JJ McArthur - Energy and Buildings, 2024 - Elsevier
Hospitals, due to their complexity and unique requirements, play a pivotal role in global
energy consumption patterns. This study conducted a comprehensive literature review …
energy consumption patterns. This study conducted a comprehensive literature review …
A Study on Load Forecasting of Distribution Line Based on Ensemble Learning for Mid-to Long-Term Distribution Planning
J Cho, Y Yoon, Y Son, H Kim, H Ryu, G Jang - Energies, 2022 - mdpi.com
The complexity and uncertainty of the distribution system are increasing as the connection of
distributed power sources using solar or wind energy is rapidly increasing, and digital loads …
distributed power sources using solar or wind energy is rapidly increasing, and digital loads …
A benchmark of GRU and LSTM networks for short-term electric load forecasting
K Zor, K Buluş - … Conference on Innovation and Intelligence for …, 2021 - ieeexplore.ieee.org
Recently, electric power systems have been modernised to be integrated with distributed
energy systems having intermittent characteristics. Herein, short-term electric load …
energy systems having intermittent characteristics. Herein, short-term electric load …
Very Short-Term Reactive Power Forecasting Using Machine Learning-Based Algorithms
GG Tolun, K Zor - 2024 9th International Youth Conference on …, 2024 - ieeexplore.ieee.org
The growing popularity of microgrids and distributed generation has encouraged further
research into the accurate regulation of the electrical grid, especially with consideration to …
research into the accurate regulation of the electrical grid, especially with consideration to …
Line Loss Calculation and Optimization in Low Voltage Lines with Photovoltaic Systems Using an Analytical Model and Quantum Genetic Algorithm
Z Zhang, X Guo, P Yang, T Wang, Y Ji, L Yao - Tehnički vjesnik, 2024 - hrcak.srce.hr
Sažetak With the increasing integration of distributed photovoltaic (PV) generation into
distribution networks, challenges such as power reverse flow and high line losses have …
distribution networks, challenges such as power reverse flow and high line losses have …
[引用][C] Systematic Review of the Use of Artificial Intelligence Methods in Hospital Energy Prediction
M FatehiJananloo, H Stopps, JJ McArthur