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pro vyhledávání: '"Blum, A. S."'
Resonance is a well-known phenomenon that happens in systems with second order dynamics. In this paper we address the fundamental question of making a network robust to signal being periodically pumped into it at or near a resonant frequency by an ad
Externí odkaz:
http://arxiv.org/abs/2410.00126
This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) systems. Compared with conventional sparse regression techniques that might introduce comput
Externí odkaz:
http://arxiv.org/abs/2404.19028
Dynamic state estimation (DSE) is vital in modern power systems with numerous inverter-based distributed energy resources including solar and wind, ensuring real-time accuracy for tracking system variables and optimizing grid stability. This paper pr
Externí odkaz:
http://arxiv.org/abs/2404.18305
Ensuring both accuracy and robustness in time series prediction is critical to many applications, ranging from urban planning to pandemic management. With sufficient training data where all spatiotemporal patterns are well-represented, existing deep-
Externí odkaz:
http://arxiv.org/abs/2404.01217
Distributed machine learning enables scalability and computational offloading, but requires significant levels of communication. Consequently, communication efficiency in distributed learning settings is an important consideration, especially when th
Externí odkaz:
http://arxiv.org/abs/2209.11944
Autor:
Blum, Alexander S., Furlan, Stefano
In 1972, at a symposium celebrating the 70th birthday of Paul Dirac, John Wheeler proclaimed that "the framework falls down for everything that one has ever called a law of physics". Responsible for this "breakage [...] among the laws of physics" was
Externí odkaz:
http://arxiv.org/abs/2206.14664
Publikováno v:
In Sustainable Energy, Grids and Networks December 2024 40
Throughput capacity of large ad hoc networks has been shown to scale adversely with the size of network $n$. However the need for the nodes to find or repair routes has not been analyzed in this context. In this paper, we explicitly take route discov
Externí odkaz:
http://arxiv.org/abs/2202.09423
The challenge of communication-efficient distributed optimization has attracted attention in recent years. In this paper, a communication efficient algorithm, called ordering-based alternating direction method of multipliers (OADMM) is devised in a g
Externí odkaz:
http://arxiv.org/abs/2202.02580
A very large number of communications are typically required to solve distributed learning tasks, and this critically limits scalability and convergence speed in wireless communications applications. In this paper, we devise a Gradient Descent method
Externí odkaz:
http://arxiv.org/abs/2202.02491