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Found 6 papers, 4 papers with code
Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach
In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency.
Deriving Loss Function for Value-oriented Renewable Energy Forecasting
By integrating it into the upper-level objective for minimizing expected operation cost, we convert the bilevel problem to a single-level one and derive the loss function for training the model.
Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach
To bridge the gap, we design a value-oriented point forecasting approach for sequential energy dispatch problems with renewable energy sources.
Predicting Strategic Energy Storage Behaviors
Energy storage are strategic participants in electricity markets to arbitrage price differences.
Carbon-Aware EV Charging
This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration.
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
Automatic ECG classification methods, especially the deep learning based ones, have been proposed to detect cardiac abnormalities using ECG records, showing good potential to improve clinical diagnosis and help early prevention of cardiovascular diseases.
