aylaebinc Goto Github PK
Name: Ayla Ebinc
Type: User
Bio: Data Analyst
Location: UK
Name: Ayla Ebinc
Type: User
Bio: Data Analyst
Location: UK
Website for technical blog algoritma
Curated resources about Data Visualization, Drawing & Publishing in R
Business Process Management, Six Sigma, etc
Calculating carbon emissions in R
Interactive CO2 emissions data visualization.
Resources to make open data relating to climate change more discoverable for local councils
Data Science courses in R from HarvardX
A dataset containing time series data for electricity consumption for first 23 days of every month was given. We had to predict the electricity for the remaining 7 days of each month for each year.
We seek to analyze the electricity consumption data and present the performance of basic forecasting models, STL (Seasonal and Trend decomposition using Loess) with multiple seasonal periods, ETS, ARIMA, TBATS and compare them.
Comparing ARIMA, VAR, ANN and VAR-ANN hybrid models for forecasting energy consumption timeseries.
R-shiny application for forecasting
Forecasting Energy Consumption in the US
Walk through, step by step examples of building different predictive models using R
Electricity demand prediction in today's world plays a very crucial role as it helps plan load allocations and also helps in making decision beforehand regarding the upgradation of the infrastructure for the generation and transmission of electricity. Moreover, forecasting electricty’s demand greatly helps cut down costs as well, because it helps with better planning and decision making. Generally energy consumption time series predictions are difficult to model because of the presence of complex linear and non-linear patterns. In this project we will be using the Autoregressive Integrated Moving Average (ARIMA), seasonal ARIMA (SARIMA) and Holt-Winters method to forecast the future demand of electricity in Toronto.
Data Visualization Project using R ShinyApp on The Global Carbon Footprint (1970 - 2015)
Real-time appliance level load separation from total power usage.
Prediction of kW 48 hours ahead. Smart meter reading, real world untouched data of client.
Code for processing various smart meter data sets. No data here, just code
spring20-barandogru created by GitHub Classroom
Forecasting residential energy consumption using linear and Holt-Winters algorithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.