Some of these seminars were given more than once, but to avoid repetition, repeats are not always listed.

Youtube

Recent seminars I've given

Writing for Researchers. (16 October 2018) More info...
Forecasting the future of the power industry: What can you learn from smart meter data?. (18 September 2018) More info...
Developing good research habits. (22 August 2018) More info...
ACEMS Forecasting Workshop. (26 July 2018) More info...
Tidy forecasting in R. (13 July 2018) More info...
Forecasting: principles and practice (NYC). (25 June 2018) More info...
Feature-based time series analysis. (21 June 2018) More info...
Tidy forecasting in R. (19 June 2018) More info...
High dimensional time series analysis. (9 April 2018) More info...
Research++: what you should know about being a researcher but probably don't. (23 March 2018) More info...

Probabilistic outlier detection and visualization of smart metre data. (13 December 2017) More info...
2017 Beijing Workshop on Forecasting. (18 November 2017) More info...
High dimensional time series analysis. (1 November 2017) More info...
Analysing sub-daily time series data. (12 October 2017) More info...
Forecasting: principles and practice (UWA). (26 September 2017) More info...
High-dimensional time series. (21 September 2017) More info...
Biggish time series data. (25 August 2017) More info...
Optimal forecast reconcilation. (25 August 2017) More info...
Visualizing and forecasting big time series data. (11 August 2017) More info...
Using data to tackle poverty. (14 July 2017) More info...
Probabilistic outlier detection and visualization of smart metre data. (22 June 2017) More info...
Time Series in R: Forecasting and Visualisation. (29 May 2017) More info...
Follow-up Forecasting Forum. (18 April 2017) More info...
Software for honours students. (4 April 2017) More info...
Probabilistic energy forecasting for smart grids and buildings. (21 March 2017) More info...

Forecasting Using R (Eindhoven). (19 October 2016) More info...
Reconciling forecasts: the hts and thief packages. (13 October 2016) More info...
Forecasting large collections of related time series. (15 September 2016) More info...
Exploring time series collections used for forecast evaluation. (20 June 2016) More info...
Automatic foRecasting using R. (6 May 2016) More info...
Making forecasting easier: forecast v7 for R. (18 February 2016) More info...

Forecasting big time series data using R. (24 October 2015) More info...
Optimal forecast reconciliation for big time series data. (6 October 2015) More info...
Google workshop: Forecasting and visualizing big time series data. (5 October 2015) More info...
Machine learning bootcamp. (17 August 2015) More info...
Exploring the feature space of large collections of time series. (29 June 2015) More info...
Exploring the boundaries of predictability: what can we forecast, and when should we give up?. (26 June 2015) More info...
Automatic algorithms for time series forecasting. (24 June 2015) More info...
MEFM: An R package for long-term probabilistic forecasting of electricity demand. (22 June 2015) More info...
Probabilistic forecasting of peak electricity demand. (18 June 2015) More info...
Visualization of big time series data. (26 May 2015) More info...
Probabilistic forecasting of long-term peak electricity demand. (22 May 2015) More info...
Visualization and forecasting of big time series data. (23 February 2015) More info...
Visualizing and forecasting big time series data. (12 January 2015) More info...

Am I a data scientist?. (8 December 2014) More info...
Forecasting: principles and practice (UWA course). (23 September 2014) More info...
Fast computation of reconciled forecasts in hierarchical and grouped time series. (1 July 2014) More info...
Functional time series with applications in demography. (24 June 2014) More info...
Challenges in forecasting peak electricity demand. (17 June 2014) More info...
State space models. (30 May 2014) More info...
Automatic time series forecasting. (13 February 2014) More info...

Coherent mortality forecasting using functional time series. (11 October 2013) More info...
Forecasting hierarchical time series. (10 October 2013) More info...
R tools for hierarchical time series. (3 July 2013) More info...
Forecasting without forecasters. (24 June 2013) More info...
Man vs wild data. (6 February 2013) More info...

Forecasting time series using R. (27 October 2011) More info...
Forecasting electricity demand distributions using a semiparametric additive model . (3 October 2011) More info...
Evaluating extreme quantile forecasts. (15 June 2011) More info...

Demographic forecasting using functional data analysis. (7 September 2010) More info...
Coherent functional forecasts of mortality rates and life expectancy. (9 June 2010) More info...

Forecasting and the importance of being uncertain. (18 July 2008) More info...
Building R packages for Windows. (29 June 2008) More info...
Time series and forecasting in R. (29 June 2008) More info...
Bagplots, boxplots and outlier detection for functional data. (19 June 2008) More info...
Exponential smoothing and non-negative data. (15 June 2008) More info...
Forecasting functional time series. (22 February 2008) More info...

Population forecasting and the importance of being uncertain. (27 November 2007) More info...
Graduation address. (25 October 2007) More info...
Forecasting medium- and long-term peak electricity demand. (25 June 2007) More info...
Stochastic population forecasts using functional data models. (22 February 2007) More info...

Forecasting and the importance of being uncertain. (26 October 2006) More info...
Automatic time series forecasting. (26 June 2006) More info...
Optimal combination forecasts for hierarchical time series. (20 June 2006) More info...