anirudhs123 / Thermal-comfort-prediction-in-low-resourced-buildingsView external linksLinks
This work entails the usage of a novel hybrid deep transfer learning method for thermal comfort prediction in buildings with no or very little labelled data
☆11Sep 20, 2021Updated 4 years ago
Alternatives and similar repositories for Thermal-comfort-prediction-in-low-resourced-buildings
Users that are interested in Thermal-comfort-prediction-in-low-resourced-buildings are comparing it to the libraries listed below
Sorting:
- ☆14Nov 17, 2023Updated 2 years ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆15Jan 4, 2023Updated 3 years ago
- Implementation of Research paper, Deep reinforcement learning based framework for energy optimization and thermal comfort control in smar…☆24May 10, 2021Updated 4 years ago
- A simple approach to supervisory MPC for building systems☆13Apr 11, 2023Updated 2 years ago
- a flexibility oriented stochastic scheduling framework is presented to evaluate short-term reliability and economic of islanded microgri…☆11Apr 29, 2022Updated 3 years ago
- ☆10Oct 13, 2025Updated 4 months ago
- This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to est…☆11Oct 24, 2020Updated 5 years ago
- Computational intelligence approaches for solving the berth allocation problem.☆11Feb 26, 2025Updated 11 months ago
- optimize the HVAC pumps and chillers operation☆12Jan 14, 2019Updated 7 years ago
- ☆12Jun 7, 2023Updated 2 years ago
- Draw Revit-like walking paths and preview walking paths' view in Forge Viewer☆10Mar 3, 2022Updated 3 years ago
- Autodesk Forge sample application visualizing IoT sensor data.☆10Nov 1, 2022Updated 3 years ago
- An implementation of IPNS for Helia☆13Jan 8, 2024Updated 2 years ago
- A simple and customizable nested dropdown component for React.☆16Feb 19, 2024Updated last year
- Supplychain Blockchain Dapp for Udacity Nanodegree program☆10Sep 4, 2020Updated 5 years ago
- End-2-end V2X latency models in 5G networks☆11Jan 17, 2023Updated 3 years ago
- Input data and source code for the paper "Modelling uncertainty in coupled electricity and gas system models—is it worth the effort?"☆11Jul 2, 2021Updated 4 years ago
- ☆14Feb 4, 2026Updated 2 weeks ago
- Detecting Credit Card Fraud Using Extreme Gradient Boosting (XGBoost)☆14Jan 29, 2019Updated 7 years ago
- Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.☆13Aug 26, 2022Updated 3 years ago
- Optimal Energy Flow in Integrated Electricity and Gas Systems With Injection of Alternative Gas☆18Oct 6, 2025Updated 4 months ago
- The open-access code of an interpretable machine learning-based method for room temperature prediction in a non-domestic building.☆17Aug 3, 2024Updated last year
- This repository contains the experimental set up used for the paper: "Demand Response of Residential Houses Equipped with PV-Battery Syst…☆10Jan 28, 2021Updated 5 years ago
- Re-usable React components used by the Forge Dataviz IoT Reference App.☆13Apr 11, 2024Updated last year
- Continual/Lifelong/Incremental Learning☆12Jun 7, 2021Updated 4 years ago
- （考虑深度调峰火电机组频率响应特性的高风力渗透电力系统日前优化调度策略）☆16Dec 15, 2025Updated 2 months ago
- ☆15Apr 18, 2024Updated last year
- A blockchain-enable decentralized federated learning implement☆13Jul 10, 2023Updated 2 years ago
- Basic ChatGPT clone using Langchain and react-chatbot-kit.☆15Sep 6, 2023Updated 2 years ago
- Transfer learning for multi source EEG-emotion-classification☆15Nov 18, 2020Updated 5 years ago
- Building management system with dashboard and hardware for monitoring and controlling☆18May 10, 2020Updated 5 years ago
- Node.js library for controlling Xiao Mi Yeelight☆21Mar 6, 2023Updated 2 years ago
- Exposes GPIO sensor data via JSON REST endpoint.☆14Jun 24, 2019Updated 6 years ago
- LSTM to predict daily HVAC consumption in buildings☆14Jul 25, 2024Updated last year
- ☆11Aug 3, 2022Updated 3 years ago
- ☆14May 3, 2022Updated 3 years ago
- A CNN-LSTM encoder-decoder model with univariate input is demonstrated to make multi-step predictions for time-series energy usage data.☆13Oct 17, 2024Updated last year
- Tools that make use of Pinata API in Python☆14Oct 23, 2021Updated 4 years ago
- 《考虑电动汽车可调度潜力的充电站两阶段市场投标策略》论文支撑文件☆18Oct 16, 2020Updated 5 years ago