Popular GitHub Repositories for Electricity Demand

Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ?.

List of papers, code and experiments using deep learning for time series forecasting

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

A shared library of on-demand DeepStream Pipeline Services for Python and C/C++

Summary of open source code for deep learning models in the field of traffic prediction

A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

Using Deep Learning for Demand Forecasting with Amazon SageMaker

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Run multiple resource-heavy Large Models (LM) on the same machine with limited amount of VRAM/other resources by exposing them on different ports and loading/unloading them on demand

On-Demand Learning for Deep Image Restoration (ICCV 2017)

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

Modeling time series of electricity spot prices using Deep Learning.

Avito Demand Prediction Challenge :department_store:

Internship project

Forecasting Solar Power: Analysis of using a LSTM Neural Network

This project is everything Chat-GPT should be for developers! An advanced AI-driven coding companion tailored for developers. Seamlessly bridging the gap between traditional coding and AI capabilities, we offer real-time chat interactions, on-demand agent functions, and intuitive code management. Feedback welcome!