crystal1230

crystal1230's Stars

• pengsida/learning_research

  本人的科研经验

  6.1k7131365

• ki-ljl/LSTM-Load-Forecasting

  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

  Language:Python21931048

• tum-ens/urbs

  A linear optimisation model for distributed energy systems

  Language:Python18625134133

• Matrixeigs/energy_management_system

  energy management system for the microgrid

  Language:Python15516053

• EnyanDai/GANF

  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

  Language:Python15131523

• ki-ljl/LSTM-MultiStep-Forecasting

  Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-scrolling forecasting, and seq2seq forecasting.

  Language:Python931118

• wenhaomin/DiffSTG

  Code for DiffSTG

  Language:Python6131010

• jonathandumas/generative-models

  Implementation of generative models to compute scenario of renewable generation and consumption.

  Language:Python601213

• UNSW-CEEM/energy-market-deep-learning

  Experiments in using deep learning to model competition in liberalised electricity markets.

  Language:Python485019

• efendiogulu/hems

  Home Energy Management System for Small Prosumers Considering Electric Vehicle Load Scheduling

  Language:Python271010

• ki-ljl/CNN-Load-Forecasting

  Implementation of Electric Load Forecasting Based on CNN.

  Language:Python23106

• 4MOR3/HEMS

  A HEMS(Home Energy Management System) algorithm using MATLAB yalmip+cplex to help residential users to better participant in power grid peak shaving

  Language:MATLAB22102

• Prof-Greatfellow/electricity-gas-ANN

  Data and codes for the ANN-based electricity-gas dispatch article on Applied Energy (https://www.sciencedirect.com/science/article/pii/S030626192100043X).

  Language:MATLAB22109

• Matrixeigs/EnergyManagementSourceCodes

  energy management codes developed in the past

  Language:Python18305

• adrianghc/HEMS

  HEMS - Home Energy Management System for a residential solar installation. It enables the user to schedule appliances in a targeted way, increasing energy self-consumption based on energy production predictions via weather forecasts.

  Language:Jupyter Notebook15352

• EstebanHernandezCapel/DDPM-Power-systems-forecasting

  Language:Jupyter Notebook13101

• LSY-Cython/DiffCharge

  Language:Python13117

• CanboyEE/Data_IES_case

  This is the data of two integrated energy systems.

  10003

• Prof-Greatfellow/Multitask-GBRT

  Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting: Beyond the Paper

  Language:Python6100

• panne027/AppliedEnergy2021

  This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" that is submitted to the Applied Energy Journal

  Language:Python5101

• mlab-upenn/DPC-AppliedEnergy

  Language:MATLAB4402

• IMMM-SFA/burleyson-etal_2021_applied_energy

  Meta repository for data and code associated with the Burleyson et al. 2021 paper in Applied Energy.

  Language:MATLAB36

• IMMM-SFA/burleyson-etal_2024_applied_energy

  Meta repository for data and code associated with the Burleyson et al. 2024 submission to Applied Energy.

  Language:Jupyter Notebook330

• PatrickSoltis/dont_shed_on_me

  test_public

  Language:Jupyter Notebook3100

• a280558071/electricity-gas-ANN

  Data and codes for the ANN-based electricity-gas dispatch article on Arxiv.

  Language:MATLAB2001

• Chaizhaoyuan/urbs

  A linear optimisation model for distributed energy systems

  Language:Python2001

• chennnnnyize/Scenario-Forecasts-GAN

  Research code

  Language:Python2100

• haiwenn/DNNs-used-in-applied-energy

  The structures of DNNs used in our applied energy paper are listed here. And their construction codes are in the jupyter notebook.

  Language:Jupyter Notebook1000

• ki-ljl/GNNPapers

  Must-read papers on graph neural networks (GNN)

  100

• Wencanzhu/electricity-gas-ANN

  Data and codes for the ANN-based electricity-gas dispatch article on Arxiv.

  Language:MATLAB100