forecasting-time-series
There are 68 repositories under forecasting-time-series topic.
trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
DC-research/TEMPO
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
ipang-dwi/fts
Forecasting Time Series with Moving Average and Exponential Smoothing
cruiseresearchgroup/forecasting-on-new-roads
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
m6129/VKR
Investigation of the capabilities of foundations models in the context of time series forecasting
ritikaga/Superstore-Sales-Analysis-and-Time-series-Forecasting
Analysis Sales data to gain insights and create Interactive Sales Dashboard and also predict /Forecast the next sales with the use of Power-Bi.
raphischer/xpcr
Automatically select DNNs for time series forecasting under consideration of complexity and resource consumption.
hammaad2002/Solar-Irradiance-Forecasting-Using-Deep-Learning-Techniques
Solar Irradiance Forecasting Using Deep Learning Techniques
PhongDiii/Individual-project-Production-Planning-in-Hoa-Phat
Analyze and propose the plan to monitor and estimate business aspects
rahatkader/Dhaka-Weather-Forecasting
Dhaka weather forecasting model trained using API from Open-Meteo.com
tdolz/hierAgeStrucEDM
data and code associated with the publication "Age structure augments the predictive power of time series for fisheries and conservation" by Tara E. Dolan, Eric P. Palkovacs, Tanya L. Rogers, and Stephan B. Munch.
AlessandroCogollo/AN2DL-Challenges-2023
Two projects developed as part of a university course on Artificial Neural networks and Deep Learning, in particular, an image classification task, and a univariate time series forecasting task.
CallmeQuant/Boostrapping-Markov-Chain
Implementing method of Willemain et al., 2004 for forecasting intermittent demand
ethanlchristensen/PredictiveForecastingLearning
Learn about how we can use models to make predicitons in the future based on historical data.
Hannahnv/Customer-Transaction-Analysis
Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
madsh0402/Forecasting-energy-consumption-in-Denmark
Exploring forecasting for energy consumption
realdanielbyrne/N-BEATS-Lightning
An Implementation of N-BEATS using Pytorch Lightning
tohid-yousefi/Machine_Learning_Algorithms_for_Time_Series_Analysis_Total_Trading_Volume_Forecasting
In this section, we will use machine learning algorithms to perform time series analysis.
alframoss/LSTM-algo-bot
An LSTM price prediction model for a Brent crude algorithmic trading bot.
arminZolfaghari/Forescasting-EEG-Signals
Forecasting EEG signals using Lag-Llama model
AxelSeanCP/Apple-Stock-Forecast
A project from dicoding Machine Learning Intermediate Class with data Time Series
bennicholson2/Maryland-Automotive-Industry
Comprehensive Research Project as a part of internship at Seton Hill University
canberkkacan/PV-Panel-Power-Generation-Forecast-with-Random-Forest
Random Forest algorithm to forecast the hourly power generation of PV plant over time, using time series data and multiple features.
crncck/Forecast-Sales-ARIMA-SARIMAX
Time series forecasting on future sales with ARIMA and SARIMAX algorithms
cybergeekgyan/BitPredict
Highly accurate forecasting model for predicting Bitcoin prices in January 2024 using deep learning techniques, specifically Recurrent Neural Networks (RNNs).
himarygr/sales-forecasting-and-budget-optimization
💲 🔮 Predict 3 months of item-level sales data at different store locations and optimize budgets and placements to maximize key product metrics
irinazobova/solar-activity-forecast
Long-term solar activity forecast for solar cycles 25 and 26 with libraries numpy, pandas, scipy, sympy, sklearn. A science project by physics undergrad student.
kowsalya0092/time-series-forecasting
The "Cincinnati Traffic Crashes - Time Series Analysis" is a comprehensive study that employs statistical techniques to examine patterns and trends in traffic accidents over time within the Cincinnati area. This analysis aims to forecast future incidents, and assist in developing strategies to enhance road safety.
lanafuadi/arima_forecasting
This project's objective is to leverage the ARIMA time series regression model to accurately forecast future product sales quantity, enhancing predictive capabilities for better planning and decision-making.
luis-cj/data-science-forecasting-food-retailer
Data science project to forecast retail sales from a large grocery chain using a multi-step forecasting Machine Learning algorithm
MarcellinusRyan20/SalesForecasting
Engaged in a collaborative effort with a company seeking to implement machine learning for forecasting purposes. Employed Time Series Analysis using data spanning 2019 to 2023, evaluating three distinct models. The model with the optimal error score was selected to project values for 2024.
nikapotato/hydro-power-prediction-experiments
The day-ahead prediction of electricity production from a run-of-river hydropower plant.
Soumyadipta2020/cu_msc_project_soumyadipta
CU M.Sc. Project
TejasKhandwekar/LLM-Comparison
Repository for replicating and comparing time series LLM models with statistical models