forecasts

Projections of COVID-19, in standardized format

Time series analysis in Java

Hierarchical and Grouped Time Series

Easy to Deploy Prediction Market Platform

An API client for fetching data from the Surfline API v1 and v2

Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services.

Golang GRIB2 parser

Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.

getgfs extracts weather forecast variables from the NOAA GFS forecast with no obscure, platform specific, dependencies

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

This is the data scraping & modeling code used for models shown in https://econforecasting.com.

Dynamic Grid Prices for Ecopower

SARS-CoV-2 variant growth rates and frequency forecasts

Forecasting the effective reproduction number over short timescales

This is a web display that shows current weather, weather forecast, Google Calendar Events, Crypto Prices and random quotes. It is built on MiddleManApp, jQuery, SCSS, JavaScript, and basic HTML.

Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.

This project is to measure the popularity of each league using the search data collected from Google Trends, which give real-time historical data on search words. With this project, it is also possible to compare and forecast how the sports league are trending with respect to each other using three models — trend plus seasonality regression, Holt-Winters Multiplicative (HWMM), and Seasonal Autoregressive Integrated Moving Average (SARIMA). Businesses interested in advertising or investing with either league may leverage these forecasts for deciding which sports league provides the greater or long-term value.

This is an attempt to produce load forecast for an electric grid using historic load and weather data

Generates a daily, city specific forecast for the duration of a user created road trip itinerary.

A world map with climate forecasts such as temperature, precipitation, hot days using World Bank Climate API