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Urban energy systems face increasing challenges due to high penetration of renewable energy sources, extreme weather events, and other high-impact, low-probability disruptions. This project proposes a community-centered, open-access…

Systems and Control · Electrical Eng. & Systems 2026-02-11 Arya Abdollahi

A competitive wholesale electricity market consists of thousands of interacting market participants. Driven by the variations of fuel costs, system loads and weathers, these market participants compete actively and behave variously in the…

Systems and Control · Electrical Eng. & Systems 2019-11-01 Zhongyang Zhao , Caisheng Wang , Huaiwei Liao , Carol J. Miller

Due to growing population and technological advances, global electricity consumption, and consequently also CO2 emissions are increasing. The residential sector makes up 25% of global electricity consumption and has great potential to…

Machine Learning · Computer Science 2025-04-15 Vid Hanžel , Blaž Bertalanič , Carolina Fortuna

A complex network can be characterized by patterns. Such frequently occurring significant patterns are called motifs and in a time dependent network, they are called temporal motifs. One of the temporal networks where temporal motifs are…

Social and Information Networks · Computer Science 2021-02-04 Rucha Bhalchandra Joshi , Annada Prasad Behera , Subhankar Mishra

Datacenter power demand has been continuously growing and is the key driver of its cost. An accurate mapping of compute resources (CPU, RAM, etc.) and hardware types (servers, accelerators, etc.) to power consumption has emerged as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-15 Ana Radovanovic , Bokan Chen , Saurav Talukdar , Binz Roy , Alexandre Duarte , Mahya Shahbazi

Observing and controlling complex networks are of paramount interest for understanding complex physical, biological and technological systems. Recent studies have made important advances in identifying sensor or driver nodes, through which…

The aim of the present work is to provide the theoretical fundamentals needed to monitor power grids using high frequency sensors. In our context, network monitoring refers to the harvesting of different kinds of information: topology of…

Signal Processing · Electrical Eng. & Systems 2019-03-01 Federico Passerini , Andrea M. Tonello

This paper addresses the use of smart-home sensor streams for continuous prediction of energy loads of individual households which participate as an agent in local markets. We introduces a new device level energy consumption dataset…

Machine Learning · Computer Science 2017-08-16 Christoph Doblander , Martin Strohbach , Holger Ziekow , Hans-Arno Jacobsen

The participation of consumers and producers in demand response programs has increased in smart grids, which reduces investment and operation costs of power systems. Also, with the advent of renewable energy sources, the electricity market…

Machine Learning · Computer Science 2022-07-29 Nafise Rezaei , Roozbeh Rajabi , Abouzar Estebsari

Power grids play a very important role in delivering electrical energy to homes, industries and other places that require it. Because of this increased demand they are facing a great challenge of voltage variations. This happens due to…

Signal Processing · Electrical Eng. & Systems 2021-06-25 Sahil Vohra

Smart grid is a modified form of electrical grid where generation, transmission, distribution and customers are not only connected electrically but also through strong communication network with each other as well as with market, operation…

Networking and Internet Architecture · Computer Science 2016-11-15 N. Javaid , A. Sharif , A. Mahmood , S. Ahmed , U. Qasim , Z. A. Khan

Smart grid technology has been recognized as a promising solution for the next-generation energy efficient electric power systems to mitigate energy crisis. Smart grid provides highly consistent and reliable services, efficient energy…

Systems and Control · Electrical Eng. & Systems 2021-11-23 Saurav Biswas

Demand forecasting in power sector has become an important part of modern demand management and response systems with the rise of smart metering enabled grids. Long Short-Term Memory (LSTM) shows promising results in predicting time series…

Machine Learning · Computer Science 2021-07-30 Koushik Roy , Abtahi Ishmam , Kazi Abu Taher

Integration of large-scale renewable energy sources and increasing uncertainty has drastically changed the dynamics of power system and has consequently brought various challenges. Rapid transient stability assessment of modern power system…

Systems and Control · Electrical Eng. & Systems 2022-06-15 Umair Shahzad

The energy transition, crucial for tackling the climate crisis, demands integrating numerous distributed, renewable energy sources into existing grids. Along with climate change and consumer behavioral changes, this leads to changes and…

Systems and Control · Electrical Eng. & Systems 2024-09-05 Alban Puech , Jonas Weiss , Thomas Brunschwiler , Hendrik F. Hamann

This study confronts the growing challenges of energy consumption and the depletion of energy resources, particularly in the context of smart buildings. As the demand for energy increases alongside the necessity for efficient building…

Crowdsourcing has been successfully applied in many domains including astronomy, cryptography and biology. In order to test its potential for useful application in a Smart Grid context, this paper investigates the extent to which a crowd…

Human-Computer Interaction · Computer Science 2018-05-14 Mark D. Wagy , Josh C. Bongard , James P. Bagrow , Paul D. H. Hines

The advancements in smart power grid and the advocation of ``green communications'' have inspired the wireless communication networks to harness energy from ambient environments and operate in an energy-efficient manner for economic and…

Systems and Control · Electrical Eng. & Systems 2020-01-01 Shuyan Hu , Xiaojing Chen , Wei Ni , Xin Wang , Ekram Hossain

A key objective of the smart grid is to improve reliability of utility services to end users. This requires strengthening resilience of distribution networks that lie at the edge of the grid. However, distribution networks are exposed to…

Systems and Control · Computer Science 2016-11-18 Yun Wei , Chuanyi Ji , Floyd Galvan , Stephen Couvillon , George Orellana , James Momoh

The increasing transmission capacity needs in a future energy system raise the question how associated costs should be allocated to the users of a strengthened power grid. In contrast to straightforward oversimplified methods, a flow…