scholarly journals Short-Term Load Forecasting: The Similar Shape Functional Time-Series Predictor

2013 ◽  
Vol 28 (4) ◽  
pp. 3818-3825 ◽  
Author(s):  
Efstathios Paparoditis ◽  
Theofanis Sapatinas
Keyword(s):  
Time Series ◽  
Load Forecasting ◽  
Short Term ◽  
Similar Shape ◽  
Functional Time Series ◽  
Short Term Load Forecasting

Advanced fuzzy time series applied to short term load forecasting

2017 ◽  
Author(s):  
Guilherme Costa Silva ◽  
Joao L. R. Silva ◽  
Adriano C. Lisboa ◽  
Douglas A. G. Vieira ◽  
Rodney R. Saldanha
Keyword(s):  
Time Series ◽  
Load Forecasting ◽  
Fuzzy Time Series ◽  
Short Term ◽  
Short Term Load Forecasting

scholarly journals Stacked Boosters Network Architecture for Short-Term Load Forecasting in Buildings

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2370 ◽  
Author(s):  
Tuukka Salmi ◽  
Jussi Kiljander ◽  
Daniel Pakkala
Keyword(s):  
Time Series ◽  
Network Architecture ◽  
State Of The Art ◽  
Multivariate Time Series ◽  
Load Forecasting ◽  
Building Energy ◽  
Short Term ◽  
Univariate Time Series ◽  
Short Term Load Forecasting ◽  
Base Learner

This paper presents a novel deep learning architecture for short-term load forecasting of building energy loads. The architecture is based on a simple base learner and multiple boosting systems that are modelled as a single deep neural network. The architecture transforms the original multivariate time series into multiple cascading univariate time series. Together with sparse interactions, parameter sharing and equivariant representations, this approach makes it possible to combat against overfitting while still achieving good presentation power with a deep network architecture. The architecture is evaluated in several short-term load forecasting tasks with energy data from an office building in Finland. The proposed architecture outperforms state-of-the-art load forecasting model in all the tasks.

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