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Accurate power load forecasting is essential for the efficient operation and planning of electrical grids, particularly given the increased variability and complexity introduced by renewable energy sources. This paper introduces GAT-LSTM, a…

Machine Learning · Computer Science 2025-02-13 Ugochukwu Orji , Çiçek Güven , Dan Stowell

This paper presents a novel method for utilizing fine-tuned Large Language Models (LLMs) to minimize data requirements in load profile analysis, demonstrated through the restoration of missing data in power system load profiles. A two-stage…

Machine Learning · Computer Science 2024-06-05 Yi Hu , Hyeonjin Kim , Kai Ye , Ning Lu

Estimating link capacity in a wireless network is a complex task because the available capacity at a link is a function of not only the current arrival rate at that link, but also of the arrival rate at links which interfere with that link…

Networking and Internet Architecture · Computer Science 2010-07-28 Apoorva Jindal , Konstantinos Psounis , Mingyan Liu

The digitalization of energy sectors has expanded the coding responsibilities for power engineers and researchers. This research article explores the potential of leveraging Large Language Models (LLMs) to alleviate this burden. Here, we…

Human-Computer Interaction · Computer Science 2023-10-20 Ran Li , Chuanqing Pu , Junyi Tao , Canbing Li , Feilong Fan , Yue Xiang , Sijie Chen

Far-field microwave power transfer (MPT) will free wireless sensors and other mobile devices from the constraints imposed by finite battery capacities. Integrating MPT with wireless communications to support simultaneous information and…

Information Theory · Computer Science 2015-06-12 Kaibin Huang , Erik G. Larsson

We consider the joint scheduling-and-power-allocation problem of a downlink cellular system. The system consists of two groups of users: real-time (RT) and non-real-time (NRT) users. Given some average power constraint on the base station,…

Information Theory · Computer Science 2016-12-28 Ahmed Ewaisha , Cihan Tepedelenlioglu

Modern transformer-based sequential recommenders excel at capturing short-term intent but often suffer from recency bias, overlooking stable long-term preferences. While extending sequence lengths is an intuitive fix, it is computationally…

Machine Learning · Computer Science 2026-04-10 Andrii Dzhoha , Egor Malykh

Low-power and cost-effective IoT sensing nodes enable scalable monitoring of different environments. Some of these environments impose rough and extreme operating conditions, requiring continuous adaptation and reconfiguration of physical…

Networking and Internet Architecture · Computer Science 2025-02-24 Waltenegus Dargie , Christian Poellabauer , Abiy Tasissa

The cloud's flexibility and promise of seamless auto-scaling notwithstanding, its ability to meet service level objectives (SLOs) typically calls for some form of control in resource usage. This seemingly traditional problem gives rise to…

Networking and Internet Architecture · Computer Science 2021-01-18 Chong Li , Jiangnan Liu , Chenyang Lu , Roch Guerin , Christopher D. Gill

In this paper, we consider the power allocation problem for the downlink of the massive multiple-input multiple-output (MIMO) systems. We propose a new scheme by exploiting the water-filling algorithm in a cell with two zones. It is…

Signal Processing · Electrical Eng. & Systems 2021-08-31 Abdolrasoul Sakhaei Gharagezlou , Jafar Pourrostam , Mahdi Nangir , Mir Mahdi Safari

Ensuring the frequency stability of electric grids with increasing renewable resources is a key problem in power system operations. In recent years, a number of advanced controllers have been designed to optimize frequency control. These…

Systems and Control · Electrical Eng. & Systems 2023-05-23 Wenqi Cui , Guanya Shi , Yuanyuan Shi , Baosen Zhang

As network deployments become denser, interference arises as a dominant performance degradation factor. To confront with this trend, Long Term Evolution (LTE) incorporated features aiming at enabling cooperation among different base…

Information Theory · Computer Science 2017-01-24 George C. Alexandropoulos , Paul Ferrand , Constantinos B. Papadias

In the context of increasing demands for long-term multi-energy load forecasting in real-world applications, this paper introduces Patchformer, a novel model that integrates patch embedding with encoder-decoder Transformer-based…

Machine Learning · Computer Science 2024-04-17 Qiuyi Hong , Fanlin Meng , Felipe Maldonado

In this paper, we consider the problem of energy efficient uplink scheduling with delay constraint for a multi-user wireless system. We address this problem within the framework of constrained Markov decision processes (CMDPs) wherein one…

Networking and Internet Architecture · Computer Science 2009-08-25 Nitin Salodkar , Abhay Karandikar , V. S. Borkar

Accurate forecasting of the electrical load, such as the magnitude and the timing of peak power, is crucial to successful power system management and implementation of smart grid strategies like demand response and peak shaving. In…

Machine Learning · Computer Science 2024-11-26 Dafang Zhao , Xihao Piao , Zheng Chen , Zhengmao Li , Ittetsu Taniguchi

Radio maps provide radio frequency metrics, such as the received signal strength, at every location of a geographic area. These maps, which are estimated using a set of measurements collected at multiple positions, find a wide range of…

Information Theory · Computer Science 2024-03-26 Daniel Romero , Tien Ngoc Ha , Raju Shrestha , Massimo Franceschetti

We consider the problem of scheduling wireless links in the physical model, where we seek an assignment of power levels and a partition of the given set of links into the minimum number of subsets satisfying the…

Networking and Internet Architecture · Computer Science 2015-02-19 Magnus M. Halldorsson , Tigran Tonoyan

This paper considers an orthogonal frequency division multiplexing (OFDM) downlink point-to-point system with simultaneous wireless information and power transfer. It is assumed that the receiver is able to harvest energy from noise,…

Information Theory · Computer Science 2016-11-18 Derrick Wing Kwan Ng , Ernest S. Lo , Robert Schober

This study presents novel methods for computing fixed points of positive concave mappings and for characterizing the existence of fixed points. These methods are particularly important in planning and optimization tasks in wireless…

Information Theory · Computer Science 2020-09-30 Renato L. G. Cavalcante , Yuxiang Shen , Slawomir Stańczak

A fundamental requirement to develop routing strategies in power line networks is the knowledge of the network topology, which might not be complete. In this work, we present a novel method to derive the topology of a distribution network…

Other Computer Science · Computer Science 2016-11-11 Federico Passerini , Andrea M. Tonello