load-forecasting

There are 4 repositories under load-forecasting topic.

stxupengyu / BPNN-MATLAB
使用bp神经网络预测电力负荷，使用小型数据集，通过一个简单的例子。Using BPNN to predict power load, using small data set, a simple example.
bpnn-matlab bpnn load-forecasting
Language:MATLAB 25
jbbae / commercial_storage_analysis
Project to explore & optimize dispatch of a commercial-scale battery storage system
energy energy-consumption energy-storage commercial-building load-forecasting regression
Language:Jupyter Notebook 21
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.
load-forecasting machine-learning neural-networks time-series
Language:Jupyter Notebook 18
Varniex / Load-Forecasting
Load Forecasting with MATLAB (ANN)
neural-network ann matlab matlab-toolbox matlab-gui artificial-neural-networks load-forecasting load forecasting
Language:MATLAB 18
MORED
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).
load-forecasting load-disaggregation electricity-consumption consumption-data dataset nilm energy-disaggregation
15
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".
federated-learning load-forecasting machine-learning transformer
Language:PureBasic 14
Mark-THU / load-point-forecast
load point forecast
cnn-lstm-models cnn-model deep-neural-networks gru load-forecasting lstm mlp-networks seq2seq-attn transformer
Language:Jupyter Notebook 14
stxupengyu / Grey-Model
使用灰色系统理论做负荷预测。Using Grey System Theory to Make Load Forecasting
grey-theory grey-model load-forecasting
Language:MATLAB 13
ArsamAryandoust / DataSelectionMaps
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
deep-learning active-learning load-forecasting spatio-temporal-prediction data-selection remote-sensing machine-learning sampling
Language:Jupyter Notebook 12
SyedHasnat / Papers
Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"
cnn deep-learning electrical-engineering electrical-load-consumption hybrid load-forecasting lstm multi-horizon-forecasting smart-grid time-series-forecasting
Language:Jupyter Notebook 10
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 influence-function load-forecasting machine-unlearning objective-based-load-forecasting predict-and-optimize
Language:Python 9
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".
federated-learning load-forecasting machine-learning mixture-of-experts
8
OmarBouhamed / T-DPnet
T-DPnet-Transformer-based-deep-Probabilistic-network-for-load-forecasting
deep-learning load-forecasting machine-learning probabilistic-forecasting t-dpnet transformers
Language:Jupyter Notebook 8
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.
deep-learning deep-neural-networks load-forecasting machine-learning sequence-to-sequence sequential-models transfer-learning transformer building-to-building-transfer-learning
Language:Jupyter Notebook 7
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
Language:Jupyter Notebook 5
xuwkk / AAA_Load_Forecast
adversarial-attacks adversarial-learning load-forecasting
Language:Python 5
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
load-forecasting machine-learning
Language:Jupyter Notebook 4
ugoorji12 / Grid-Aware_STGNN_for_Multi-Horizon_Load_Forecasting
Grid-Aware STGNN for Multi-horizon Power Load Forecasting
load-forecasting stgnn stlf
Language:Python 4
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 power-system-operations objective-based-load-forecasting task-aware value-based-forecast economic-dispatch
Language:Python 4
fatin-farhan / 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 consumption results based on MSE, MAE, Relative Error and F1 Score.
energy-disaggregation neural-networks feature-learning nilm energy-consumption deep-learning cnn-model load-disaggregation load-forecasting lstm-model
Language:Jupyter Notebook 3
amirhosseinamerimanesh / Load-Forecasting-Machine-Learing
This repository is for load forecasting using machine learning.
ann lgbm load-forecasting lstm machine-learning neural-networks python regression
Language:Jupyter Notebook 2
Avinash793 / adversarial-attacks-on-load-forecasting-model
Studied the impact of adversarial attacks on RNN Based load forecasting model.
adversarial-attacks adversarial-examples adversarial-learning adversarial-machine-learning deep-learning forecasting forecasting-models keras load-forecasting python3 rnn rnn-lstm security
Language:Jupyter Notebook 2
lmssdd / smart_meter_forecasting
smart-meter load-forecasting energy
Language:Jupyter Notebook 2
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.
load-forecasting short-term-load-forecasting
Language:Python 2
rayhanhemel / Randomization-based-Machine-Learning-Python-Codes-for-Smart-Grid-Security
This is part of the research work based on Smart Grid Cyber Threat Intelligence (SG-CTI). The research paper of this work is under review in the journal. Detailed information about this work will be provided after it is published in the journal. Research Grant: GUP-2023-010 (supported by the Ministry of Higher Education, Malaysia)
energy-consumption energy-demand-forecasting load-forecasting scada-security scada-system smart-meter-data
Language:Jupyter Notebook 2
ArsamAryandoust / PowerFoundationModels
Power Systems Foundation Models
artificial-intelligence climate-change machine-learning foundation-models transformer power-systems gnns graph-neural-networks acopf cascading-failures load-forecasting solar-forecasting wind-forecasting
Language:Jupyter Notebook 1
MaherDissem / PersFL-LoadForecast
Exploring Different Personalization Mechanisms for Federated Time Series Forecasting. Paper DOI: 10.1109/JIOT.2025.3580378
load-forecasting personalized-federated-learning time-series
Language:Jupyter Notebook 1
mnikoopayan / quantile-patch-transformers
Probabilistic building load forecasting (Q10/Q50/Q90) + risk-aware supervisory control using Patch Transformer (QR-PatchTST)
building-energy keras load-forecasting patchtst quantile-regression tensorflow time-series transformer uncertainty smart-buildings
Language:Jupyter Notebook 1
MrAsimZahid / SmartMeter-Power-Consumption-Time-Series-Forecasting
Prediction of kW 48 hours ahead. Smart meter reading, real world untouched data of client.
time-series load-forecasting smart-meters energy-consumption machine-learning linear-regression data-analysis data-science python3
Language:Jupyter Notebook 1
soham-shee / LoadLens
A Load Forecasting Prediction System with Frontend
forecasting-models forecasting-time-series gru gru-model load-forecasting
Language:Jupyter Notebook 1
Athanasion / STLF-Thesis
This repository is part of my thesis on short-term load forecasting using LSTM neural networks.
cnn load-forecasting lstm machine-learning short-term-load-forecasting
Language:Jupyter Notebook 0
rrcabaoig / sparta-capstone
Electricity Demand Forecasting for the Luzon Power System
load-forecasting power-systems statistics supervised-learning
Language:Jupyter Notebook 0
siang-chang / load-forecasting-taiwan-industry
BDRC, 台灣工業用電預測
industry load-forecasting machine-learning python
Language:Jupyter Notebook 0
0xChron / load-demand-forecasting
Data driven load forecasting using energy generation and weather conditions
load-forecasting predictive-analytics random-forest xgboost-regression
Language: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.
arima arima-model load load-forecasting machine-learning python
Language:HTML

load-forecasting

stxupengyu / BPNN-MATLAB

jbbae / commercial_storage_analysis

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

Varniex / Load-Forecasting

MOREDataset / MORED

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

Mark-THU / load-point-forecast

stxupengyu / Grey-Model

ArsamAryandoust / DataSelectionMaps

SyedHasnat / Papers

xuwkk / task_aware_machine_unlearning

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

OmarBouhamed / T-DPnet

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

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

xuwkk / AAA_Load_Forecast

16kushaal / Energy-Grid-Load-Forecasting

ugoorji12 / Grid-Aware_STGNN_for_Multi-Horizon_Load_Forecasting

xuwkk / E2E-AT

fatin-farhan / DNN-for-NILM

amirhosseinamerimanesh / Load-Forecasting-Machine-Learing

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

lmssdd / smart_meter_forecasting

oguzhannfsgl / Load-Forecasting-with-DeepNN

rayhanhemel / Randomization-based-Machine-Learning-Python-Codes-for-Smart-Grid-Security

ArsamAryandoust / PowerFoundationModels

MaherDissem / PersFL-LoadForecast

mnikoopayan / quantile-patch-transformers

MrAsimZahid / SmartMeter-Power-Consumption-Time-Series-Forecasting

soham-shee / LoadLens

Athanasion / STLF-Thesis

rrcabaoig / sparta-capstone

siang-chang / load-forecasting-taiwan-industry

0xChron / load-demand-forecasting

divykantsharma / Load-Forecasting-with-ARIMA