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

Official Repository for the paper "Improving Baselines in the Wild".

Code for the submitted paper Surrogate-based cross-correlation for particle image velocimetry

ColBERT: Contextualized Late Interaction over BERT (SIGIR'20)

Code and data for "TURL: Table Understanding through Representation Learning"

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

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GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks

FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

DockStream: A Docking Wrapper to Enhance De Novo Molecular Design

Computer Vision application in the web

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Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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Simultaneous Demand Prediction and Planning

Related tags

Overview

Simultaneous Demand Prediction and Planning

Dependencies

Data

Experiments

Owner

Yizong Wang

Official Repository for the paper "Improving Baselines in the Wild".

Code for the submitted paper Surrogate-based cross-correlation for particle image velocimetry

ColBERT: Contextualized Late Interaction over BERT (SIGIR'20)

Code and data for "TURL: Table Understanding through Representation Learning"

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks

FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

DockStream: A Docking Wrapper to Enhance De Novo Molecular Design

Computer Vision application in the web

Wenet STT Python

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Label-Free Model Evaluation with Semi-Structured Dataset Representations

code release for USENIX'22 paper `On the Security Risks of AutoML`

PyTorch deep learning projects made easy.

Statsmodels: statistical modeling and econometrics in Python

i-RevNet Pytorch Code

Official implementation for "Image Quality Assessment using Contrastive Learning"

CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, and Trevor Darrell. CVPR 2015 and PAMI 2016.