Simultaneous Demand Prediction and Planning

Last update: Sep 01, 2022

Related tags

Deep Learning SPAP

Overview

Simultaneous Demand Prediction and Planning

Dependencies

Python packages: Pytorch, scikit-learn, Pandas, Numpy, PyYAML

Data

POI: data/poi
Road network: data/roadnet
Transportation: data/transportation
Station profile: data/station_list
Charging records: data/station
Station profile and charging records can be collected in Star Charge APP.

Experiments

Evaluations of charging demand prediction
python model/run.py --source SOURCE_CITY --target TARGET_CITY --model MODEL_NAME
Evaluations based on real plans
1. Even, CG, Real, TIO: python real_world.py
2. Park: python real_world_parking.py
3. Pop: python real_world_population.py
Evaluations with varied budgets
python evaluation_varied_budget.py
Evaluations with optimal solution
python optimal_comparison_BF_tio.py

Owner

Yizong Wang

GitHub Repository

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Simultaneous Demand Prediction and Planning

Related tags

Overview

Simultaneous Demand Prediction and Planning

Dependencies

Data

Experiments

Owner

Yizong Wang

[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

PyTorch implementation of "Learn to Dance with AIST++: Music Conditioned 3D Dance Generation."

Model serving at scale

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

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Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

Recovering Brain Structure Network Using Functional Connectivity

Code repo for "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation" (ICCV 2021)

Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"

An implementation of quantum convolutional neural network with MindQuantum. Huawei, classifying MNIST dataset

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Official repo for BMVC2021 paper ASFormer: Transformer for Action Segmentation

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Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"

Certis - Certis, A High-Quality Backtesting Engine

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016