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load-forecasting

Here are 29 public repositories matching this topic...

siang-chang / load-forecasting-taiwan-industry

BDRC, 台灣工業用電預測

python machine-learning industry load-forecasting

Updated Aug 6, 2023
Jupyter Notebook

MaherDissem / PersFL-LoadForecast

Exploring Different Personalization Mechanisms for Federated Time Series Forecasting

time-series load-forecasting personalized-federated-learning

Updated Nov 12, 2024
Jupyter Notebook

rrcabaoig / sparta-capstone

Electricity Demand Forecasting for the Luzon Power System

statistics supervised-learning power-systems load-forecasting

Updated Apr 9, 2023
Jupyter Notebook

divykantsharma / Load-Forecasting-with-ARIMA

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

python machine-learning load arima arima-model load-forecasting

Updated Jan 3, 2024
HTML

Athanasion / STLF-Thesis

This repository is part of my thesis on short-term load forecasting using LSTM neural networks.

machine-learning cnn lstm short-term-load-forecasting load-forecasting

Updated Jun 18, 2023
Jupyter Notebook

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

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

security deep-learning keras python3 forecasting rnn forecasting-models adversarial-learning adversarial-machine-learning adversarial-examples adversarial-attacks rnn-lstm load-forecasting

Updated Jan 15, 2024
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MrAsimZahid / SmartMeter-Power-Consumption-Time-Series-Forecasting

Prediction of kW 48 hours ahead. Smart meter reading, real world untouched data of client.

data-science machine-learning time-series linear-regression python3 data-analysis energy-consumption smart-meters load-forecasting

Updated Jan 12, 2020
Jupyter Notebook

16kushaal / Energy-Grid-Load-Forecasting

Project uses machine learning to predict energy load in Spanish cities based on weather data, aiming to optimize grid management and renewable energy integration. It tackles challenges in data cleaning, model selection, and feature engineering, demonstrating ML's superiority in handling complex relationships and improving forecasting accuracy

machine-learning load-forecasting

Updated Aug 29, 2024
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amirhosseinamerimanesh / Load-Forecasting-Machine-Learing

This repository is for load forecasting using machine learning.

python machine-learning regression lstm neural-networks ann lgbm load-forecasting

Updated Nov 17, 2023
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lmssdd / smart_meter_forecasting

energy smart-meter load-forecasting

Updated Apr 21, 2020
Jupyter Notebook

EEE17A / DNN-for-NILM

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 …

deep-learning neural-networks lstm-model nilm energy-disaggregation feature-learning cnn-model energy-consumption load-forecasting load-disaggregation

Updated Jul 28, 2021
Jupyter Notebook

oguzhannfsgl / Load-Forecasting-with-DeepNN

Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.

short-term-load-forecasting load-forecasting

Updated Nov 8, 2022
Python

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.

end-to-end-learning load-forecasting economic-dispatch power-system-operations objective-based-load-forecasting task-aware value-based-forecast

Updated Mar 12, 2024
Python

hajri94 / Predictive-Model-for-Heat-Load-in-Buildings-Connected-to-District-Heating-Network

A black box data driven model that considers the characterization and prediction of heat load in buildings connected to District Heating by using smart heat meters

data-driven-model district-heating load-forecasting heat-meters

Updated Mar 4, 2023
Jupyter Notebook

xuwkk / AAA_Load_Forecast

adversarial-learning adversarial-attacks load-forecasting

Updated Dec 13, 2022
Python

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".

machine-learning federated-learning mixture-of-experts load-forecasting

Updated Jan 26, 2024

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".

machine-learning transformer federated-learning load-forecasting

Updated Nov 14, 2023
PureBasic

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.

machine-learning deep-neural-networks deep-learning transformer sequence-to-sequence transfer-learning sequential-models load-forecasting building-to-building-transfer-learning

Updated Jan 29, 2023
Jupyter Notebook

xuwkk / task_aware_machine_unlearning

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

end-to-end-learning machine-unlearning load-forecasting influence-function predict-and-optimize objective-based-load-forecasting

Updated Mar 14, 2024
Python

OmarBouhamed / T-DPnet

T-DPnet-Transformer-based-deep-Probabilistic-network-for-load-forecasting

machine-learning deep-learning transformers probabilistic-forecasting load-forecasting t-dpnet

Updated Dec 16, 2022
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