0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Explainable AI-Driven Deep Learning Framework for Short-Term Net Load Forecasting
نویسندگان :
Sina Hossein Beigi Fard
1
ََAmir Hossein Baharvand
2
Amir Hossein Poursaeed
3
Meysam Doostizadeh
4
1- دانشگاه لرستان
2- دانشگاه لرستان
3- دانشگاه لرستان
4- دانشگاه لرستان
کلمات کلیدی :
short-term net load forecasting،bayesian optimization،explainable artificial intelligence،deep learning،bidirectional long short-term memory،renewable energy resources.
چکیده :
To ensure the effective and sustainable operation of modern energy supply networks, estimating the electricity load is crucial for strategic planning, power generation, and system operation. In order to improve the precision and effectiveness of Short-Term Net Load Forecasting (STNLF), this paper presents an optimized deep neural network. Bayesian optimization of Bidirectional Long Short-Term Memory (BiLSTM) serves as the foundation for the proposed deep learning model. Bayesian optimization method is used to fine-tune the hyperparameters of the BiLSTM model. Moreover, historical time-series data with hourly resolution from 2018 and 2019 Austria are used to demonstrate the effectiveness of the proposed method. This dataset contains variables including temperature, solar energy, wind turbine generation, and actual loads. Additionally, an explainable artificial intelligence technique is used to provide better transparency and alignment with domain knowledge to explain the impact of input factors on the forecasts. The efficacy of the proposed approach is further demonstrated by validation on a different experimental dataset. Interestingly, there is a notable improvement in the evaluation of performance indices compared to the conventional machine learning-based forecasting techniques. This demonstrates the deep learning model's resilience and dependability in improving STNLF accuracy.
لیست مقالات
لیست مقالات بایگانی شده
Improving the Performance of Unified Power Quality Conditioner Using Interval Type 2 Fuzzy Control
Farzad Rastegar - Zohreh Paydar
Effective Rate Analysis of MISO Wireless Communication Systems over EGK Fading Channels
ّfereshteh Salimian Rizi - Abolfazl Falahati
Lightweight SRAM-PUF Identity Authentication for Edge Devices
Alireza Shafiei - Mehrnaz Monajati
ترکیب الگوریتم بهینهساز ازدحام ذرات و شبکه عصبی همگشتی رزنت در مدلسازی و طراحی سطوح انتخابگر فرکانس فراکتالی
امین مزروعی آبکنار - مجتبی مداح علی - مرضیه نصیریان
Brain Effective Connectivity Comparision in Different States of Familiarity and Desiring Brands Confrontation: a Neuromarketing Study
Mahdi Taghaddossi - Mohammad Hasan Moradi
A New 10 Watt Power Amplifier for GSM 900 MHz base stations with 44% Bandwidth
Marzieh Chegini - HojjatAllah Nemati - Mahmoud Kamarei
امکان استفاده از پلی آنیلین دوبعدیC3N به عنوان آشکار سازِ گاز استالدهیدِ بازدم در دستگاه های تشخیصِ غیر تهاجمیِ سرطان ریه: مطالعه اصل اولیه
محمد حسین امیدواری - حامد مهدوی نژاد - رزا صفایی اسدآبادی - محمدحسین شیخی
برنامه ریزی مسیر حرکت ربات در بین عابران پیاده با پیشبینی حرکت عابران
ملیکا رضوانی - سمانه حسینی
Revolutionizing Energy Efficiency: A Case Study on Self-supply of Electrical Energy in the Mobarake Steel Industry
Mahdi Shadi - Seyed Mohammad Shobeiry - Mohammad Sadegh Ghazizadeh - Hassan Mardani
A Low-profile Interdigital Diplexer for LEO Satellites Applications
Mojtaba Fallahzadeh - Behzad Ahmadi - Ali Kheirdoost
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2