کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / نهمین کنفرانس بین المللی فناوری و مدیریت انرژی

Wind Farm Power Prediction with Transformer Encoder

نویسندگان :

Elman Ghazaei¹ Omid Feizi² Amir A. Ghavifekr³ Mina Salim⁴ Armin Hassanzadeh⁵

1- University of Tabriz 2- University of Tabriz 3- University of Tabriz 4- University of Tabriz 5- University of Tabriz

کلمات کلیدی :

Wind Turbine،Deep Learning،Power Prediction،Transformer Encoder،Wind Farm

چکیده :

The increasing utilization of renewable energy sources, such as wind power, into the electrical grid, requires accurate prediction methods to improve grid reliability and stability. This paper presents a novel approach for wind farm power prediction using Transformer Encoder structure as a cutting-edge deep learning model. The Transformer Encoder demonstrates promising potentials in identifying temporal dependencies and spatial correlations inherent in wind farm data. The proposed model learns complex patterns in wind speed, direction, and other pertinent meteorological features by utilizing the self-attention mechanism of Transformer Encoders to efficiently capture long-range dependencies within time-series data. To validate the performance of the proposed model, experiments are carried out on real-world wind farm datasets, comparing the Transformer Encoder-based approach with conventional forecasting methods and other deep learning models. The outcomes demonstrate the superiority of the proposed model in terms of accuracy, robustness, and adaptability to varying environmental conditions.

لیست مقالات

لیست مقالات بایگانی شده

Investigating the Impact of Distributed Generation on Retail Price of Electricity Market in Iran's Electricity Distribution Network

Peyman Zare - Iraj Faraji Davoudkhani - Rasoul Zare - Hossein Ghadimi - Bakhshali Sabery - Ahad Babaei Bork Abad

شبیه‌سازی عددی فرآیند ذخیره‌سازی و انتقال حرارت در محفظه ذخیره‌سازی هیدروژن

ناطقه نجف‌پور - امید ادیبی

Hydrogen Pinch Analysis with Recycled Hydrogen Approach by Energy Management of Refinery Processes in Optimal State

Daryoush Tavangar Rizi - Mohammad Hassan Nazari - Seyed Hossein Hosseinian - Gevork B. Gharehpetian - Maryam Fani - Amir Khorsandi

Distinctive Hardening of Distribution Networks Against Magnetic Attacks using Advanced Materials

Hamidreza Amiri

Short-Term Forecasting of Wind Turbine-Generated Power in the Presence Of Actuator Fault

Hamed Habibzadeh - Behnaz Malekzadeh javidi - Sara Motarabbesoun - Mahdi Dinparast - Hamed Kharrati

Optimal energy management in the presence of microgrids containing distributed generations, considering technical and economic points

Mehdi Ahmadi Jirdehi - Hamdi Abdi - Hazhir Dousti

Heat integration of three consecutive distillation columns with a hybrid method for the complete separation of quaternary mixtures

Majid Ahmadi - Farzad Shirmohammadi - Alireza Khadem Emamzadeh - Zahra Mokhtari - Fatemeh Yadang zavareh - Yousef Akbarinia

شبیه سازی و بهینه سازی ابعاد نیروگاه خورشیدی 8 کیلووات متصل به شبکه با استفاده از نرم‌افزار PVsyst: مطالعه موردی دانشگاه تبریز

فراز جمالی - آرمان جلالی

Analyzing Fault Detection Methods for Wind Turbines in Smart Grids: A Comparative Review

Behnam Azizi - Mahmoud Reza Shahkarami - Mehran Amiri - Iraj Azartoos

Modeling Environmental Parameters Affecting the Performance of Solar Photovoltaic Systems Using Machine Learning

Mahdi Gandomzadeh - Aslan Gholami - Majid Zandi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.2.0