slzhang-git's repositories
seasonal-arimax-renewable-impact-analysis2
Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter
deep-belief-network-renewable-impact-analysis
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
seasonal-arimax-impact-analysis
SARIMAX model for forecast traffic volume
L11-better-option-transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
L5-v2-CityLearn
Official reinforcement learning environment for demand response and load shaping
L8-ElecLoadsSim_V1
A Data-Driven Approach for Generating Synthetic Load Patterns and Usage Habits
L13-RAMP-mobility
A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.
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.
L10-PPML-TSA
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
L6-RL-manufacturing
Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement Learning Algorithms>
L4-better-option-cnn-SolNET
A CNN for Solar Panel Dust Detection
L3-ES-dRNN
Short Term Load Forecasting with ES-dRNN
cdd-error-free
Improved file system navigation with cd
L13-pamod
Coordination Algorithms for the interaction between Autonomous Mobility-on-Demand systems and the power network.
L13-EVChargingStationModel
Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption
eVED
An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.
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.
L13-carbon_aware_ev_charging
Minimizing Carbon Emission during EV Charging
L7-deer
DEEp Reinforcement learning framework
DRL
A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes
L11-GAN-NILM
GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)
L11-latest-seq2point-nilm
Sequence-to-point learning for non-intrusive load monitoring
L4-supplimentary-Wind-Turbine-Surface-Damage-Detection
A CNN model capable of detecting the presence of surface damages on wind turbines