slzhang-git Goto Github PK

cdd-error-free

Improved file system navigation with cd

deep-belief-network-renewable-impact-analysis

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

drl

A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes

eved

An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.

imbalance-settlement-data

l10-ppml-tsa

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

l11-better-option-transfernilm

Transfer Learning for Non-Intrusive Load Monitoring

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

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

l13-driverawarecharginginfrastructuredesign

l13-electric-vehicles

l13-ev-charging-impact

l13-evchargingstationmodel

Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption

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.

l13-pamod

Coordination Algorithms for the interaction between Autonomous Mobility-on-Demand systems and the power network.

l13-ramp-mobility

A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.

l3-es-drnn

Short Term Load Forecasting with ES-dRNN

l4-better-option-cnn-solnet

A CNN for Solar Panel Dust Detection

l4-supplimentary-wind-turbine-surface-damage-detection

A CNN model capable of detecting the presence of surface damages on wind turbines

l5-v2-citylearn

Official reinforcement learning environment for demand response and load shaping

l6-rl-manufacturing

Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement Learning Algorithms>

l7-better-option-deeprl-emsrl

l7-deer

DEEp Reinforcement learning framework

l8-elecloadssim_v1

A Data-Driven Approach for Generating Synthetic Load Patterns and Usage Habits

l9-dynamic_stability_datasets_gnn_paper-companion

seasonal-arimax-impact-analysis

SARIMAX model for forecast traffic volume

seasonal-arimax-renewable-impact-analysis

SARIMAX in python with pmdarima

seasonal-arimax-renewable-impact-analysis2

Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter