Sustainable development goal 6. A review of the linear and alternative projection methods used for monitoring progress on drinking water and sanitation using JMP database

Data science project where several forecasting models and telegram bot were built using a dataset collected by an actual IoT system on smart gas meter readings

Forecast Model for Covid-19

Stock Analysis dashboard app using Dash plotly.

Smart Energy Policies for Sustainable Mobile Networks via Forecasting and Adaptive Control

This study predicts the resurgence of leather jackets using Google Trends data and various forecasting models. Forecasts indicate a significant surge in demand from November 2023 to January 2024, providing strategic insights for fashion brands and influencers to maximize revenue opportunities.

Python code to analyse PV production and weather Data to forecast future production

Projeto final da disciplina de séries temporais

Shipping and delivering to a place near you

Exploration of time series forecasting concepts and techniques

An amateur forecast modeling website that predicts elections, sports, and more.

This project implements the long-term Social Security forecast model used by Brazilian Federal Government to estimates the revenues and expenses of National Pensions. The purpose of this implementation is to reproduce the forecasts of revenue and expenses presented in Table 5.2 of the Budget Guidelines Law (LDO) of 2012.

Step-By-Step Execution of Time-Series Analysis and Forecasting using Python.

Energy Sector | Time Series

Repo for the Rossmann store sales prediction project via time series analysis.

A machine learning model was developed to predict the hourly electrical load demand for a country using weather data from five major cities. The model was trained on historical data and evaluated using a holdout set. The web application was developed to take weather data as input and predict the load using the model.

The Forecast Brazilian Salary API is a powerful tool that allows users to predict salaries based on various factors and parameters.

Manuscript, source codes and data sets on estimating Singapore’s lower-bound SARS-CoV-2 Infection Trend In 2020.

This notebook was created for a class project in Energy Planning, taken during my graduation in energy engineering. The idea behind it is to forecast the hourly energy consumption for a week of the south-eastern region subsystem, based on the ONS division.