Net-load forecasting of renewable energy systems using multi-input LSTM fuzzy and discrete wavelet transform

Author:

Mokarram Mohammad Jafar,Rashiditabar Reza,Gitizadeh Mohsen,Aghaei JamshidORCID

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference21 articles.

1. A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration;Alipour;Energy,2020

2. Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization;Altan;Energy,2022

3. Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer;Cen;Energy,2019

4. A novel optimal placing of solar farms utilizing multi-criteria decision-making (MCDA) and feature selection;Mokarram;J Clean Prod,2020

5. Using adaptive Neuro-Fuzzy network (ANFIS) to predict underground water quality in west of Fars province during 2003 to 2013 period;Mokarram;Iran. J. Ecohydrol.,2017

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