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Работы, на которые ссылается эта работа
Работ: 17
Работа: Feature Engineering for Short Term Residential Load Forecasting Using RNN-Based Neural Networks
Enhancing Electrical Load Prediction Using a Bidirectional LSTM Neural Network
Christos Pavlatos, Evangelos Makris, Georgios Fotis +2
Статья2023Цитирований: 2ABIExploratory Data Analysis Based Short-Term Electrical Load Forecasting: A Comprehensive Analysis
Umar Javed, Khalid Ijaz, Muhammad Jawad +4
Статья2021Цитирований: 2ABIA Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Препринт2015Цитирований: 2ABIShort‐term power load forecasting based on multi‐layer bidirectional recurrent neural network
Xianlun Tang, Yuyan Dai, Ting Wang +1
Статья2019Цитирований: 2ABIA Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting
Muhammad Sajjad, Zulfiqar Ahmad Khan, Amin Ullah +4
Статья2020Цитирований: 2ABIA Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad +3
Обзорная статья2020Цитирований: 2ABIElectrical Load Forecasting Using LSTM, GRU, and RNN Algorithms
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda
Статья2023Цитирований: 2ABI