International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

A parallel CNN-BiGRU network for short-term load forecasting in demand-side management

Authors :

Arghavan Irankhah¹ Sahar Rezazadeh Saatlou² Mohammad Hossein Yaghmaee³ Sara Ershadi-Nasab⁴ Mohammad Alishahi⁵

1- Department of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran 2- Department of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran 3- Department of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran 4- Department of Computer Engineering Ferdowsi University of Mashhad Mashhad, Iran 5- Research center of smart distribution networks

Keywords :

Deep Learning

Abstract :

Nowadays power companies are trying to monitor energy consumption to provide demand response. Energy management and scheduling are possible through short-term load forecasting. Energy supply stability and efficiency depend on accurate forecasting, which balances demand and supply. In this paper, a novel day-ahead residential load forecasting method is introduced. A new parallel deep learning network is presented that is based on CNN and GRU networks. Some features are extracted from the dataset during pre-processing. The CNN models extract more information from these features in two parallel paths. By observing the input both forward and in reverse directions, bi-GRU networks are used to learn long dependency patterns. The proposed method is evaluated using real-world data collected by the Mashhad energy distribution company. In comparison with state-of-the-art methods, the proposed method has the lowest RMSE, MAE, and MAPE values of 49.04, 34.37, and 3.81, respectively.

Papers List

List of archived papers

Traffic Sign Recognition Using Local Vision Transformer

Ali Farzipour - Omid Nejati Manzari - Shahriar B. Shokouhi

Automatic Infrared-Based Volume and Mass Estimation System for Agricultural Products

Seyed Muhammad Hossein Mousavi - S. Muhammad Hassan Mosavi

An influence maximization algorithm based on community detection using topological features

Zahra Aghaee - Afsaneh Fatemi

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

A Novel Hybrid Method for Clustering Text Documents using Evolutionary Optimization

Muhammad Naderi - Maryam Amiri

Fatty Liver Level Recognition Using Particle Swarm Optimization (PSO) Image Segmentation and Analysis

Seyed Muhammad Hossein Mousavi - Vyacheslav Lyashenko - Atiye Ilanloo - S. Younes Mirinezhad

InfOnto: An ontology for fashion influencer marketing based on Instagram

Somaye Sultani - Mohsen Kahani

Joint ADC-less Analog Demodulator and Decoder for Extended Binary (8, 4, 4) Hamming Channel Code

Mir Mahdi Safari - Jafar Pourrostam - Behzad Mozaffari Tazehkand

Information Theoretic Learning-based Deep Embedded Clustering (ITL-DEC)

Hoda Shad - Mona Zamiri - Tahereh Bahreini - Reza Monsefi - Ghoshe Abed Hodtani

Novel Insights in Deep Learning for Predicting Climate Phenomena

Mohammad Naisipour - Saghar Ganji - Iraj Saeedpanah - Behnam Mehrakizadeh - Ahmad Reza Labibzadeh

Samin Hamayesh - Version 41.3.1