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ChatEV: Predicting electric vehicle charging demand as natural language processing

UrbanEV is an open benchmark dataset for electric vehicle (EV) charging demand in Shenzhen, China.

Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"

LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.

A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.

TPP-LLM: Modeling TPPs by Efficiently Fine-Tuning LLMs

Encourager et planifier la mobilité électrique dans les territoires avec l’Open-Data

A tutorial on how to set up a LLM on Google Colab for both GPU-accelerated and CPU-only session.

⚡️ Encourager et planifier la mobilité électrique dans les territoires avec l’Open-Data.

A curated list of resources for using LLMs to develop more competitive grant applications.

EB1A Full Application - I-140 and I-485

Interactive data analytics

An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.

PyTorch implementation of ESG