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References from Feature selection for energy system modeling: Identification of relevant time series information. Local targets link to admitted publications; unresolved targets remain external evidence.
The european energy system 2050 a review of current pathways for renewable and conventional technologies in europe
2017 · External reference
Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power
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10.1016/j.egyai.2020.100007 · 2020 · Admitted local publication
The role of hydrogen, battery-electric vehicles and heat as flexibility option in future energy systems
2018 · External reference
10.1016/j.egyai.2020.100005 · 2020 · Admitted local publication
Temporal and spatial tradeoffs in power system modeling with assumptions about storage: An application of the POWER model
10.1016/j.energy.2016.10.074 · 2016 · External reference
Dealing with multiple decades of hourly wind and PV time series in energy models: a comparison of methods to reduce time resolution and the planning implications of inter-annual variability
10.1016/j.apenergy.2017.03.051 · 2017 · External reference
Carpe diem: a novel approach to select representative days for long-term power system modeling
10.1016/j.energy.2016.06.081 · 2016 · External reference
Time series aggregation for energy system design: Modeling seasonal storage
10.1016/j.apenergy.2018.01.023 · 2018 · External reference
Selecting representative days for capturing the implications of integrating intermittent renewables in generation expansion planning problems
10.1109/tpwrs.2016.2596803 · 2017 · External reference
Unresolved reference
External reference
Impact of different time series aggregation methods on optimal energy system design
10.1016/j.renene.2017.10.017 · 2018 · External reference
A mathematical theory of communication
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Unresolved reference
2009 · External reference
Unresolved reference
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2015 · External reference
The weka data mining software: an update
2009 · External reference
Gene selection for cancer classification using support vector machines
2002 · External reference
An introduction to variable and feature selection
2003 · External reference
Data analytics in the electricity sector a quantitative and qualitative literature review
2020 · External reference
A systematic feature selection procedure for short-term data-driven building energy forecasting model development
10.1016/j.enbuild.2018.11.010 · 2019 · External reference
Machine learning based integrated feature selection approach for improved electricity demand forecasting in decentralized energy systems
10.1109/access.2019.2924685 · 2019 · External reference
Forecasting short-term electricity demand in residential sector based on support vector regression and fuzzy-rough feature selection with particle swarm optimization
10.1016/j.proeng.2015.08.459 · 2015 · External reference
10.1016/j.egyai.2020.100028 · 2020 · Admitted local publication
A new feature selection technique for load and price forecast of electrical power systems
10.1109/tpwrs.2016.2556620 · 2017 · External reference
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using
10.1016/j.ijforecast.2019.02.001 · 2019 · External reference
Putting big data analytics to work: feature selection for forecasting electricity prices using the LASSO and random forests
10.1080/12460125.2015.994290 · 2015 · External reference
Forecasting of wind speed using feature selection and neural networks
2016 · External reference
Short-term wind speed forecasting using empirical mode decomposition and feature selection
10.1016/j.renene.2016.05.023 · 2016 · External reference
A data-driven multi-model methodology with deep feature selection for short-term wind forecasting
10.1016/j.apenergy.2017.01.043 · 2017 · External reference
Feature engineering and forecasting via derivative-free optimization and ensemble of sequence-to-sequence networks with applications in renewable
10.1016/j.energy.2020.117136 · 2020 · External reference
Unresolved reference
2018 · External reference
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
10.1016/j.eneco.2017.12.016 · 2018 · External reference
Automated variable selection and shrinkage for day-ahead electricity price forecasting
10.3390/en9080621 · 2016 · External reference
The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts
10.1016/j.eneco.2018.10.005 · 2018 · External reference
Forecasting electricity spot prices using lasso: on capturing the autoregressive intraday structure
10.1109/tpwrs.2016.2521545 · 2016 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Regularization and variable selection via the elastic net
10.1111/j.1467-9868.2005.00503.x · 2005 · External reference
Unresolved reference
2019 · External reference
Long-term patterns of european PV output using 30 years of validated hourly reanalysis and satellite data
10.1016/j.energy.2016.08.060 · 2016 · External reference
Unresolved reference
External reference
Unresolved reference
2014 · External reference
Ridge regression
1988 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
”least angle regression”
10.1214/009053604000000067 · 2004 · External reference
Unresolved reference
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Tslearn, a machine learning toolkit for time series data
2020 · External reference
Ockham’s razor and bayesian analysis
1992 · External reference
Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures
2003 · External reference
Testing structural equation models
1993 · External reference
Basic principles of structural equation modeling
1996 · External reference
Econometric and statistical modeling with python
10.25080/majora-92bf1922-011 · 2010 · External reference
Power characteristics of PV ensembles: experiences from the combined power production of 100 grid connected PV systems distributed over the area of germany
10.1016/s0038-092x(00)00146-8 · 2001 · External reference
Copula-based modeling of stochastic wind power in europe and implications for the swiss power grid
10.1016/j.apenergy.2011.10.039 · 2012 · External reference
