کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Net Load Forecasting of Household Prosumers Considering Deep Reinforcement Learning

نویسندگان :

Behzad Motallebi Azar¹ Rasool Kazemzadeh² Morteza Zare Oskouei³ Behnam Mohammadi-Ivatloo⁴

1- Sahand University of Technology 2- Sahand University of Technology 3- Sahand University of Technology 4- Lappeenranta University of Technology

کلمات کلیدی :

Net load forecasting،Machine learning،Household prosumers،Deep reinforcement learning

چکیده :

The advent of machine learning (ML) has opened up a promising avenue for forecasting energy systems operations. Meanwhile, deep reinforcement learning (DRL) algorithms as advanced ML techniques attracted lots of attention. In this regard, this study employs the twin delayed deep deterministic policy gradient (TD3) DRL algorithm to forecast net load in a mid-term manner for heterogeneous household prosumers over consecutive days during summer and winter, highlighting seasonal variations. Moreover, all simulations are run based on real-world data to depict the efficiency of the proposed framework.

لیست مقالات

لیست مقالات بایگانی شده

Design and Analysis of a New Electrically Controllable Brushless Eddy-Current Clutch

Hassan Mohammadi Pirouz - Mohammadreza Baghayipour

A Lightweight Authentication Protocol For M2M Communication In IIoT Using Physical Unclonable Functions

Elaheh Kharghani - Saeed Aliakbari - Javad Bidad - Amir masoud Aminian moddares

Robust Control System Design for an Industrial Heavy Duty Gas Turbine under Network-Induced Imperfections

Nasim Ensanseft - Ali Chaibakhsh

Power exchanging of a VPP with its neighboring VPPs and participating in Day-ahead and spinning reserve markets

Mohammad Fazel Dehghanniri - Masoud Ali Akbar Golkar - Farzin Ghasemi

Power Consumption and I/Q-to-Phase Analysis in Direct Demodulation Approaches

Mir mahdi Safari - Jafar Pourrostam

طراحی و ساخت لیدار پالسی برای خودرو خودران با حذف موثر پدیده تداخل

سبحان دبیدیان - صدرا تفقدی جامی - زهرا کاوه وش - علی فتوت احمدی

Higher Derivatives Extremum Seeking with Very Slow/ Drifting Sensor

Farzaneh Karimi - Mohsen Mojiri

Autoencoders for Input Reduction in Interval Type-2 Hyperbolic Fuzzy System Identification and Control: Experimental Results

Behnaz Mohammadi - Nazanin Ildarabadi - Mohammad-R Akbarzadeh-T

ارائه ساختاری جدید از یک فوتودیود شکست بهمنی InGaAs / Si SACM APD جهت آشکار سازی در طول موج تابشی 1550 نانومتر

مهدی اسکندری - محمد عظیم کرمی

Lightweight SRAM-PUF Identity Authentication for Edge Devices

Alireza Shafiei - Mehrnaz Monajati

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0