☆18Jun 8, 2026Updated 4 months ago
Alternatives and similar repositories for Lightweight-Federated-NILM
Users that are interested in Lightweight-Federated-NILM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆34Sep 29, 2025Updated last year
- BaseNILM is a tool for solving the energy dissagregation problem. It aims to give a baseline systems for both new and experience research…☆30Sep 23, 2026Updated last month
- Non-Intrusive Appliance Load Monitoring (NILM) based on Convolutional Neural Networks for PyTorch☆11Sep 5, 2020Updated 6 years ago
- NILM (Non-intrusive Load Monitoring) 实验代码与结果 本仓库包含使用深度学习模型（LSTM、RNN 和 MultiHead Transformer）进行非侵入式负荷检测的代码和实验结果。NILM 技术用于从总负荷数据中提取各个电器的用电信…☆20Oct 21, 2024Updated 2 years ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆16Jan 3, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICML2025] A Non-isotropic Time Series Diffusion Model with Moving Average Transitions☆18Jun 23, 2025Updated last year
- Federated Learning on Energy Dataset for load forecasting using clustering and sequential DNN methods☆14Sep 19, 2024Updated 2 years ago
- Self Supervised Learning for Time Series Using Similarity Distillation☆11Jun 29, 2022Updated 4 years ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated 2 years ago
- ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting☆16Mar 11, 2026Updated 7 months ago
- GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)☆26Jul 19, 2021Updated 5 years ago
- We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learni…☆10Oct 11, 2023Updated 3 years ago
- [Approach] K-Means, kernel K-means, K-Medians, K-Medoids☆16Oct 24, 2021Updated 5 years ago
- pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning☆10May 31, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆31May 29, 2026Updated 4 months ago
- ToyOS is a simple x86 OS that only accepts numeric values into the input stream and returns them to a standard out console.☆12Nov 27, 2025Updated 10 months ago
- ☆13Sep 25, 2023Updated 3 years ago
- Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipelin…☆36May 31, 2023Updated 3 years ago
- Data cleaning code for gap filling☆10Oct 1, 2021Updated 5 years ago
- A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR),…☆17Dec 18, 2025Updated 10 months ago
- PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning☆14Oct 9, 2022Updated 4 years ago
- Scalable Probabilistic Estimates of Electric Vehicle Charging (SPEECh)☆14Nov 12, 2024Updated last year
- It is a specialization course of Python in coursera hosted by **University of Michigan**. This repository contains the solutions of the …☆20Jun 9, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [AAAI2022] Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough☆15Sep 17, 2025Updated last year
- Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".☆19Nov 14, 2023Updated 2 years ago
- This code uses federated learning to forecast electrical power consumption of households while protecting data privacy.☆12Mar 9, 2024Updated 2 years ago
- ☆33Jun 24, 2025Updated last year
- A code from paper "A Global Modeling Framework for Load Forecasting in Distribution Networks"☆17Apr 11, 2023Updated 3 years ago
- ☆17Feb 14, 2021Updated 5 years ago
- [IJCAI'23] Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.☆14Oct 3, 2024Updated 2 years ago
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.☆17May 24, 2023Updated 3 years ago
- Small portable regex in C (cbmc verified, and extended)☆14Jun 6, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆13Dec 7, 2022Updated 3 years ago
- use federated learning to predict building energy consumption☆16Oct 23, 2021Updated 5 years ago
- [ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series☆20Sep 29, 2025Updated last year
- Priority queue for C☆12Mar 28, 2023Updated 3 years ago
- An open-source software based testing framework for automotive cybersecurity☆12Jul 14, 2023Updated 3 years ago
- This repository contains the code used for Ordered Memory paper☆29Jan 12, 2020Updated 6 years ago
- Source code for MICCAI 2023 paper entitled: 'FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling'☆22Sep 25, 2023Updated 3 years ago