GitHub topics: short-term-load-forecasting
YuanSiping/IPPD
Mao Tan, Siping Yuan, Shuaihu Li, Yongxin Su, Hui Li, Feng He, Ultra-short-term industrial power demand forecasting using LSTM based hybrid ensemble learning, IEEE Trans. on Power System, 2019, doi:10.1109/TPWRS.2019.2963109.
Size: 3.14 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3
Athanasion/STLF-Thesis
This repository is part of my thesis on short-term load forecasting using LSTM neural networks.
Language: Jupyter Notebook - Size: 14 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
oguzhannfsgl/Load-Forecasting-with-DeepNN
Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.
Language: Python - Size: 2.53 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
praxitelisk/Greek-Electric-Load-Forecasting-IPTO
This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:
Language: R - Size: 31.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 16 - Forks: 9
Seyed-Mohammad-Shobeiry/Smart-STLF-through-Coordination-of-LSTM-Based-Models-and-FE-Methods-during-the-COVID-19
This article proposes a smart load forecasting scheme to forecast the short-term load for an actual sample network in the presence of uncertainties such as weather and the COVID-19 epidemic.
Language: Jupyter Notebook - Size: 7.49 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
