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Found 6 papers, 2 papers with code
Residential flexibility characterization and control using global forecasting models
In this paper, we propose a general and practical approach to estimate the amount of flexibility of deferrable loads in a Distribution System Operator's (DSO) grid and obtain an optimal control policy from day zero, without relying on historical observations.
National-scale bi-directional EV fleet control for ancillary service provision
Deploying real-time control on large-scale fleets of electric vehicles (EVs) is becoming pivotal as the share of EVs over internal combustion engine vehicles increases.
A data-driven approach to the forecasting of ground-level ozone concentration
The ability to forecast the concentration of air pollutants in an urban region is crucial for decision-makers wishing to reduce the impact of pollution on public health through active measures (e. g. temporary traffic closures).
Multivariate Boosted Trees and Applications to Forecasting and Control
We show that multivariate trees can outperform their univariate counterpart when the predictions are correlated.
Hierarchical Demand Forecasting Benchmark for the Distribution Grid
We present a comparative study of different probabilistic forecasting techniques on the task of predicting the electrical load of secondary substations and cabinets located in a low voltage distribution grid, as well as their aggregated power profile.
An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power Measurements
Results from two case studies located in Switzerland are presented.
