GitHub topics: load-forecasting

Repositories

ugoorji12/STT-STGNN-GAT_LSTM

STT-STGNN (GAT_LSTM) for Multi-horizon (1, 6 & 24 hours) Short-term Load Forecasting

Language: Python - Size: 31.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ArsamAryandoust/DataSelectionMaps 📦

Enhanced spatio-temporal electric load forecasts with less data using active deep learning

Language: Jupyter Notebook - Size: 875 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 4

In this project, we've tried applying various DNNs to the problem of non-intrusive load monitoring (NILM) and compared their results for various appliances using the REDD dataset. We took a sliding window approach in hopes that we'll be able to achieve real time disaggregation with further tuning and testing. We compare the disaggregated energy consumption results based on MSE, MAE, Relative Error and F1 Score.

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

soham-shee/LoadLens

A Load Forecasting Prediction System with Frontend

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Avinash793/adversarial-attacks-on-load-forecasting-model

Studied the impact of adversarial attacks on RNN Based load forecasting model.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

SyedHasnat/Papers

Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4

MaherDissem/PersFL-LoadForecast

Exploring Different Personalization Mechanisms for Federated Time Series Forecasting

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MFHChehade/Medium-Term-Load-Forecasting-using-TCN-LSTM-ARIMA

The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on historic daily data of consumption at a university campus.

Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 1

xuwkk/E2E-AT

This is the official repo for the paper E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning, to be appeared in AAAI-24.

Language: Python - Size: 154 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xuwkk/task_aware_machine_unlearning

This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.

Language: Python - Size: 1.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

shomerthesec/Research-Buildings-Energy-forecasting-using-Deep-Learning

Research done by me and @mennanawar on load forecasting using the ASHRAE building dataset provided by kaggle.

Language: Jupyter Notebook - Size: 361 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

JonasSievers/Mixture-of-Experts-based-Federated-Learning-for-Energy-Forecasting

Source code for our preprint paper "Advancing Accuracy in Load Forecasting using Mixture-ofExperts and Federated Learning".

Size: 566 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

rrcabaoig/sparta-capstone

Electricity Demand Forecasting for the Luzon Power System

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divykantsharma/Load-Forecasting-with-ARIMA

The project focuses on predicting electricity load demand using the ARIMA model, a widely used time series forecasting technique.

Language: HTML - Size: 1.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jbbae/commercial_storage_analysis

Project to explore & optimize dispatch of a commercial-scale battery storage system

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amirhosseinamerimanesh/Load-Forecasting-Machine-Learing

This repository is for load forecasting using machine learning.

Language: Jupyter Notebook - Size: 7.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

JonasSievers/Transformer-based-Federated-Learning-for-Load-Forecasting

Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".

Language: PureBasic - Size: 715 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

MOREDataset/MORED

A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).

Size: 8.37 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 2