David Obst
YOU?
Author Swipe
View article: Textual data for electricity load forecasting
Textual data for electricity load forecasting Open
Traditional mid‐term electricity forecasting models rely on calendar and meteorological information such as temperature and wind speed to achieve high performance. However depending on such variables has drawbacks, as they may not be infor…
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France Open
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments in the world to enforce a strict lockdown where all nonessential businesses are closed and citizens are ordered to stay at home. One of the consequences of this po…
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France Open
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments in the world to enforce a strict lockdown where all nonessential businesses are closed and citizens are ordered to stay at home. One of the consequences of this po…
View article: Transfer Learning for Linear Regression: a Statistical Test of Gain
Transfer Learning for Linear Regression: a Statistical Test of Gain Open
Transfer learning, also referred as knowledge transfer, aims at reusing knowledge from a source dataset to a similar target one. While many empirical studies illustrate the benefits of transfer learning, few theoretical results are establi…
Adaptive Methods for Short-Term Electricity Load Forecasting During\n COVID-19 Lockdown in France Open
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments\nin the world to enforce a strict lockdown where all nonessential businesses are\nclosed and citizens are ordered to stay at home. One of the consequences of\nthis…
View article: Textual Data for Time Series Forecasting
Textual Data for Time Series Forecasting Open
While ubiquitous, textual sources of information such as company reports, social media posts, etc. are hardly included in prediction algorithms for time series, despite the relevant information they may contain. In this work, openly access…