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Found 5 papers, 1 papers with code
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
Active voltage control presents a promising avenue for relieving power congestion and enhancing voltage quality, taking advantage of the distributed controllable generators in the power network, such as roof-top photovoltaics.
Modeling Perceptual Loudness of Piano Tone: Theory and Applications
The relationship between perceptual loudness and physical attributes of sound is an important subject in both computer music and psychoacoustics.
Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas
Furthermore, the heating loads of public and residential areas can be managed separately based on the differences in energy consumption and building shape characteristics, thereby improving the system operational flexibility and promoting renewable energy consumption.
Approximation capabilities of neural networks on unbounded domains
In this paper, we prove that a shallow neural network with a monotone sigmoid, ReLU, ELU, Softplus, or LeakyReLU activation function can arbitrarily well approximate any L^p(p>=2) integrable functions defined on R*[0, 1]^n.
The option pricing model based on time values: an application of the universal approximation theory on unbounded domains
We propose a time value related decision function to treat a classical option pricing problem raised by Hutchinson-Lo-Poggio.
