slzhang-git

Pinned Repositories

cdd-error-free
Improved file system navigation with cd
Language:Python00
deep-belief-network-renewable-impact-analysis
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Language:Python00
DRL
A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes
Language:Jupyter Notebook0 0 00
eVED
An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.
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imbalance-settlement-data
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L10-PPML-TSA
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
Language:Jupyter Notebook10
L11-better-option-transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
Language:Python00
L11-GAN-NILM
GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)
Language:Jupyter Notebook00
L11-latest-seq2point-nilm
Sequence-to-point learning for non-intrusive load monitoring
Language:Python00
L4-better-option-cnn-SolNET
A CNN for Solar Panel Dust Detection
Language:Python10

slzhang-git's Repositories

slzhang-git/L10-PPML-TSA
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
Language:Jupyter Notebook10
slzhang-git/L4-better-option-cnn-SolNET
A CNN for Solar Panel Dust Detection
Language:Python10
slzhang-git/cdd-error-free
Improved file system navigation with cd
Language:Python00
slzhang-git/deep-belief-network-renewable-impact-analysis
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Language:Python00
slzhang-git/DRL
A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes
Language:Jupyter Notebook0 0 00
slzhang-git/eVED
An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.
00
slzhang-git/imbalance-settlement-data
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slzhang-git/L11-better-option-transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
Language:Python00
slzhang-git/L11-GAN-NILM
GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)
Language:Jupyter Notebook00
slzhang-git/L11-latest-seq2point-nilm
Sequence-to-point learning for non-intrusive load monitoring
Language:Python00
slzhang-git/L11-supplementary-refit_loader
A simple, fast and handy data loader for REFIT dataset to explore the data at convenience, provided with basic transformations like resampling and extract activities by thresholding.
slzhang-git/L13-carbon_aware_ev_charging
Minimizing Carbon Emission during EV Charging
Language:Jupyter Notebook0 0
slzhang-git/L13-driverAwareChargingInfrastructureDesign
Language:Python
slzhang-git/L13-electric-vehicles
Language:Python
slzhang-git/L13-EV-charging-impact
slzhang-git/L13-EVChargingStationModel
Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption
slzhang-git/L13-EVQUARIUM
This script gives EVQUARIUM, an EV charging infrastructure evaluation tool which considers M/D/C charging station queueing. The tool evaluates EV charging infrastructure in a region given the EV charging demand within that region, outputing the expected wait time and utilization ratio of each charging station.
Language:Jupyter Notebook
slzhang-git/L13-pamod
Coordination Algorithms for the interaction between Autonomous Mobility-on-Demand systems and the power network.
slzhang-git/L13-RAMP-mobility
A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.
Language:Python
slzhang-git/L3-ES-dRNN
Short Term Load Forecasting with ES-dRNN
Language:Python
slzhang-git/L4-supplimentary-Wind-Turbine-Surface-Damage-Detection
A CNN model capable of detecting the presence of surface damages on wind turbines
slzhang-git/L5-v2-CityLearn
Official reinforcement learning environment for demand response and load shaping
Language:Python
slzhang-git/L6-RL-manufacturing
Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement Learning Algorithms>
Language:Jupyter Notebook
slzhang-git/L7-better-option-deepRL-EMSRL
Language:Python
slzhang-git/L7-deer
DEEp Reinforcement learning framework
slzhang-git/L8-ElecLoadsSim_V1
A Data-Driven Approach for Generating Synthetic Load Patterns and Usage Habits
Language:Python
slzhang-git/L9-dynamic_stability_datasets_gnn_paper-companion
Language:Jupyter Notebook
slzhang-git/seasonal-arimax-impact-analysis
SARIMAX model for forecast traffic volume
Language:Python
slzhang-git/seasonal-arimax-renewable-impact-analysis2
Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter
Language:Python
slzhang-git/shiliang.github.io