How to Develop LSTM Models for Multi-Step Time Series Forecasting of Household Power Consumption

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables that in turn could be used to model…

How to Develop Convolutional Neural Networks for Multi-Step Time Series Forecasting

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables that in turn could be used to model…

Multi-step Time Series Forecasting with Machine Learning for Household Electricity Consumption

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables that in turn could be used to model…

How to Develop an Autoregression Forecast Model for Household Electricity Consumption

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables that in turn could be used to model…

How to Develop and Evaluate Naive Methods for Forecasting Household Electricity Consumption

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables that in turn could be used to model…

How to Load and Explore Household Electricity Usage Data

Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available. This data represents a multivariate time series of power-related variables, that in turn could be used to model…

Complex Example for Mid Point Circle Generation Algorithm in Computer Graphics

Problem : Calculate the pixels for First and Fifth Octant of the circle with radius 10 and given Center Coordinate (100,100) with Mid Point Circle Generation Algorithm. ++++ Mid Point Circle Generation Algorithm with Pseudo Code and Problem+++ https://www.youtube.com/watch?v=mKV2t0ut7yQ ++++ Code for Mid Point Circle…

A Gentle Introduction to Effect Size Measures in Python

Statistical hypothesis tests report on the likelihood of the observed results given an assumption, such as no association between variables or no difference between groups. Hypothesis tests do not comment on the size of the effect if the association or difference is statistically significant. This…

Sinead Flahive Interview – AI for Athlete Optimization

Perhaps especially appropriate given that much of the globe is glued to the World Cup at the moment, this week we’re excited to kick off a series of shows on AI in sports. While I’m not personally the biggest sports fan, my producer Imari is…