0% Complete
صفحه اصلی
/
نهمین کنفرانس بین المللی فناوری و مدیریت انرژی
A Hybrid CNN-LSTM Approach Utilizing SCADA Data Enhancing Wind Power Predictions: A Dataset Case Study of Turkey
نویسندگان :
Hamed Kheirandish Gharehbagh
1
Ashkan Safari
2
Kazem Zare
3
Amir Aminzadeh Ghavifekr
4
1- دانشگاه تبریز
2- دانشگاه تبریز
3- دانشگاه تبریز
4- دانشگاه تبریز
کلمات کلیدی :
Wind Turbine،Power Prediction،SCADA Data،Renewable Energy،Forecasting،Artificial Intelligence
چکیده :
Abstract— In this study, a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks is developed to predict wind turbine output power using data obtained from the Supervisory Control and Data Acquisition (SCADA) system. The model was trained and evaluated on a dataset derived from real-world wind turbine operations in Turkey. The results demonstrate the effectiveness of the proposed approach, with a Mean Squared Error (MSE) of 0.0043, indicating a high level of accuracy in predicting power output. Additionally, the Mean Absolute Percentage Error (MAPE) of 3.02% highlights the model's ability to make precise predictions, while the Root Mean Squared Percentage Error (RMSPE) of 0.1631 further underlines its accuracy. The high R-squared (R2) value of 0.9682 indicates an excellent fit of the model to the observed data, explaining approximately 96.82% of the variance.
لیست مقالات
لیست مقالات بایگانی شده
Optimal energy management of active buildings by participating in peer-to-peer energy markets
Seyyed Armin Hosseini Karimi - Mohammad Sadegh Ghazizadeh
Optimal Design of Hybrid Renewable Energy System (WT/Bio/FC) based on Mountaineering Team-Based Optimization
Iraj Faraji Davoudkhani - Hossein Shayeghi - Javad Nabatalizadeh
بررسی عددی فرایند خنک سازی و انتقال حرارت از آب داخل یک آب انبار در شهر یزد
ولی کلانتر - مهدی عباسی
A New Method for Heat Integration of Four Sequential Distillation Columns
Afsane Khakpour - Parmis Eshaghi - Maryam Tabarestani - Mohammadamin Habibi
Feature Selection in Phishing Attack Detection Using Bee Algorithm and Logistic Regression Method
Nazila Razzaghi-Asl - Jafar Tanha - Soodabeh Imanzadeh - Negin Samadi - Sahar Hassanzadeh Mostafaei - Sayyad Nojavan
An innovative PID controller optimization algorithm for two-area power system frequency control and monitoring
Sajad Golshaeian - Mohammad Hassan Nazari - Seyed Hossein Hosseinian
Wind Generators Ferroresonance Overvoltage Protection Methods: A review
Morteza Hesami - Mehdi Bigdeli - Mohammad Amin Fatemi - Nima Shafaghatian
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
تحلیل تطبیقی سیاستهای انرژی تجدیدپذیر در کشورهای منتخب بریکس(BRICS): درس آموزه هایی از رویکرد استراتژیک هند
عسگر خادم وطنی - ایرج خلیلی دوست
بررسی راهکارهای کاهش مصرف انرژی در ساختمان مسکونی به وسیله نرم افزار دیزاین بیلدر
فاطمه آخوندی - مجید نیکفر
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0
