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diff --git a/index.qmd b/index.qmd
index eb2b574..8845ecc 100644
--- a/index.qmd
+++ b/index.qmd
@@ -95,8 +95,81 @@ col_orange <- "#ffa600"
col_yellow <- "#FCE135"
```
+## The beginning: June 2020
+
+
+
+
+
## Motivation
+:::: {.columns}
+
+::: {.column width="48%"}
+
+
+
+ |
+
+ |
+
+ Energy market liberalization created complex, interconnected trading systems
+ |
+
+
+ |
+
+ |
+
+ Renewable energy transition introduces uncertainty and volatility from weather-dependent generation
+ |
+
+
+ |
+
+ |
+
+ Traditional point forecasts are inadequate for modern energy markets with increasing uncertainty
+ |
+
+
+ |
+
+ |
+
+ Risk inherently *is* a probabilistic concept
+ |
+
+
+ |
+
+ |
+
+ **Probabilistic forecasting** essential for risk management, planning and decision making in volatile energy environments
+ |
+
+
+ |
+
+ |
+
+ **Online learning** methods needed for fast-updating models with streaming energy data
+ |
+
+
+
+
+:::
+
+::: {.column width="4%"}
+
+:::
+
+::: {.column width="48%"}
+
+:::
+
+::::
## Overview of the Thesis {transition="fade" transition-speed="slow" #sec-overview}
@@ -220,7 +293,7 @@ col_yellow <- "#FCE135"
-## Overview of the Thesis {transition="fade" transition-speed="slow"}
+## Overview of the Thesis
@@ -283,8 +356,6 @@ col_yellow <- "#FCE135"
## Overview
-
-
:::: {.columns}
::: {.column width="48%"}
@@ -301,7 +372,45 @@ col_yellow <- "#FCE135"
#### Distributional Modeling and Forecasting of Natural Gas Prices
-```{r, echo=FALSE, fig.width = 12, fig.height = 6, fig.align="center"}
+:::
+
+::::
+
+:::: {.columns}
+
+::: {.column width="48%"}
+
+
+
+
+
+Reduces estimation time by 2-3 orders of magnitude
+
+Maintainins competitive forecasting accuracy
+
+Real-World Validation in Energy Markets
+
+ Python Package ondil on [Github](https://github.com/simon-hirsch/ondil) and [PyPi](https://pypi.org/project/ondil/)
+
+:::
+
+::: {.column width="4%"}
+
+:::
+
+::: {.column width="48%"}
+
+Forecasting of Day-Ahead and Month-Ahead prices
+
+To capture the full distribution of future prices
+
+Extensive data analysis from 2011-2020
+
+State-Space models, skewed Student's *t* distribution
+
+ Python Package *sstudentt* on [Github](https://github.com/BerriJ/sstudentt) and [PyPi](https://pypi.org/project/sstudentt/)
+
+```{r, echo=FALSE, fig.width = 12, fig.height = 6, fig.align="left"}
load("assets/ngas/residuals.RData")
clr_day_ahead <- cols[5, "green"]
@@ -416,7 +525,7 @@ acfs_da <- pacfs %>%
geom_line(aes(y = upper), linetype = "longdash", alpha = 0.5) +
geom_line(aes(y = lower), linetype = "longdash", alpha = 0.5) +
scale_color_identity() +
- ylab("ACF") +
+ ylab("PACF") +
theme_minimal() +
facet_grid(. ~ Var, labeller = label_parsed) +
theme(
@@ -437,7 +546,7 @@ acfs_ma <- pacfs %>%
geom_line(aes(y = upper), linetype = "longdash", alpha = 0.5) +
geom_line(aes(y = lower), linetype = "longdash", alpha = 0.5) +
scale_color_identity() +
- ylab("ACF") +
+ ylab("PACF") +
theme_minimal() +
scale_x_continuous(breaks = c(1, 10, 20, 30, 40)) +
facet_grid(. ~ Var, labeller = label_parsed) +
@@ -488,6 +597,32 @@ cowplot::plot_grid(
#### High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
+:::
+
+::: {.column width="4%"}
+
+:::
+
+::: {.column width="48%"}
+
+#### rcpptimer: Rcpp Tic-Toc Timer with OpenMP Support
+
+:::
+
+::::
+
+:::: {.columns}
+
+::: {.column width="48%"}
+
+Predict high-resolution electricity peaks using only low-resolution data
+
+Combine GAMs and DNN's for superior accuracy
+
+ Won Western Power Distribution Competition
+
+ Won Best-Student-Presentation Award
+
```{r, echo=FALSE, fig.width = 12, fig.height = 6, fig.align="center"}
load("assets/minmaxload/plot_overview.rds")
# linesize <- 1.2
@@ -553,7 +688,7 @@ ggplot() +
legend.position = "bottom",
legend.title = element_blank(),
text = element_text(
- size = text_size + 2,
+ size = text_size + 4,
),
validate = FALSE
) +
@@ -579,7 +714,29 @@ ggplot() +
::: {.column width="48%"}
-#### rcpptimer: Rcpp Tic-Toc Timer with OpenMP Support
+ R Package *rcpptimer* on [Github](https://github.com/BerriJ/rcpptimer) and [CRAN](https://cran.r-project.org/web/packages/rcpptimer/)
+
+Provides Rcpp bindings for [cpptimer](https://github.com/BerriJ/rcpptimer)
+
+tic-toc class for timing C++ code
+
+Supports nested, overlapping and scoped timers
+
+Supports OpenMP parallelism
+
+```c++
+//[[Rcpp::depends(rcpptimer)]]
+#include
+
+void main(){
+ Rcpp::Timer timer;
+ Rcpp::Timer::ScopedTimer _(timer, "ST");
+
+ timer.tic();
+ // Some more code
+ timer.toc();
+} // ScopedTimer will stop automatically
+```
:::