armineminasyan / energy-consumption-datavizView external linksLinks
Discovering energy consumption patterns of residential and commercial users.
☆16Jul 15, 2024Updated last year
Alternatives and similar repositories for energy-consumption-dataviz
Users that are interested in energy-consumption-dataviz are comparing it to the libraries listed below
Sorting:
- Causal inference library for timeseries analysis☆18Nov 27, 2025Updated 2 months ago
- Applied machine learning toolkit implementing Double Machine Learning for Energy Analytics.☆66Dec 1, 2025Updated 2 months ago
- Intelligent Document Processing with AWS AI/ML, published by Packt☆10Feb 5, 2026Updated last week
- 2022-solar-power-generation-prediction☆11Jul 14, 2022Updated 3 years ago
- Low-carbon Expansion Generation Optimization (LEGO) model☆10Nov 16, 2022Updated 3 years ago
- Kaggle Data Science Projects☆10Apr 9, 2024Updated last year
- MEED: An Unsupervised Multi-Environment Event-Detector for Non-Intrusive Load Monitoring☆10Mar 25, 2023Updated 2 years ago
- An interactive data table for Pluto.jl notebooks.☆10Nov 22, 2020Updated 5 years ago
- Palantir R SDK☆14Sep 30, 2025Updated 4 months ago
- A pricing program for a whole-life insurance with annuity☆11Feb 28, 2021Updated 4 years ago
- Bayesian structural time series in python☆12Mar 17, 2022Updated 3 years ago
- This repository contains Python code that implements an optimized charging scheme for an Electric Vehicle (EV) and a Battery Energy Stora…☆14Jul 9, 2023Updated 2 years ago
- C-compatible enum for Julia☆15Dec 23, 2023Updated 2 years ago
- Building an LLM-Powered application to summarize PDF using LangChain, the PyPDFLoader module and Gradio for the frontend.☆14Aug 29, 2025Updated 5 months ago
- ☆14Jun 20, 2019Updated 6 years ago
- Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie☆12Jun 9, 2016Updated 9 years ago
- Proposed solution to the Flatland challenge (https://www.aicrowd.com/challenges/flatland-challenge), solving the Vehicle Rescheduling Pro…☆14Jan 22, 2020Updated 6 years ago
- Kaggle Titanic Top 3% Solution (301/11487)☆15Aug 10, 2019Updated 6 years ago
- Deep Reinforcement Learning Nanodegree program from Udacity☆10Nov 3, 2018Updated 7 years ago
- Find user's risk tolerance through the GUI. Then, will find stocks that align with Benjamin Graham and Peter Lynch. Lastly, will provide …☆14Mar 22, 2018Updated 7 years ago
- Analyze energy data with Python and Pandas☆14Feb 27, 2016Updated 9 years ago
- 1st place solution for TBrain 2023 SinoPac AIGO House Price Prediction☆17Dec 17, 2023Updated 2 years ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆15May 20, 2024Updated last year
- Curated datasets for machine learning tasks according to use cases☆17Jan 24, 2019Updated 7 years ago
- ☆18Jun 28, 2024Updated last year
- ☆21Feb 12, 2025Updated last year
- A repository for retirement and wealth management simulations.☆19Aug 9, 2025Updated 6 months ago
- ARTML- Real time learning☆21Jul 27, 2019Updated 6 years ago
- This Jupyter Notebook shows how to obtain hourly long term Google Trends data with proper scaling.☆18May 3, 2019Updated 6 years ago
- Python Package to Query the ENTSO-E API☆47Updated this week
- PDF Summarizer using Streamlit, LangChain, and OpenAI frameworks.☆22Oct 18, 2023Updated 2 years ago
- ☆17Dec 20, 2021Updated 4 years ago
- ☆17Jun 30, 2021Updated 4 years ago
- It is a machine learning based regression model implemented in python in which predicts the energy consumption of a house at a particular…☆16Dec 2, 2020Updated 5 years ago
- Example using Great Expectations to Validate Data in a scikit-learn Pipeline☆21Jul 23, 2020Updated 5 years ago
- Pairs Trading Strategy Implementation in C++☆20Jul 24, 2017Updated 8 years ago
- Python library with functions to compute early warning signals for tipping points on time-series.☆25Apr 18, 2025Updated 10 months ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆31Nov 28, 2025Updated 2 months ago
- Data and Code for the Paper "Using Google Trends to Predict Building Energy"☆18Jul 21, 2024Updated last year