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To respond to volatility and congestion in the power grid, demand response (DR) mechanisms allow for shaping the load compared to a base load profile. When tapping on a large population of heterogeneous appliances as a DR resource, the…

Systems and Control · Computer Science 2014-04-09 Mahnoosh Alizadeh , Anna Scaglione , Andy Applebaum , George Kesidis , Karl Levitt

This paper presents an extensive multi-period optimal power flow framework, with new modelling elements, for smart LV distribution systems that rely on residential flexibility for combating operational issues. A detailed performance…

Systems and Control · Electrical Eng. & Systems 2021-02-26 Iason-Iraklis Avramidis , Florin Capitanescu , Geert Deconinck

Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks. Leveraging recent progress on deep…

Machine Learning · Computer Science 2023-02-14 Jialing He , Jiamou Liu , Zijian Zhang , Yang Chen , Yiwei Liu , Bakh Khoussainov , Liehuang Zhu

Increasing adoption of smart meters and phasor measurement units (PMUs) in power distribution networks are enabling the adoption of data-driven/model-less control schemes to mitigate grid issues such as over/under voltages and power-flow…

Systems and Control · Electrical Eng. & Systems 2023-04-27 Rahul Gupta , Mario Paolone

Large language models (LLMs) have shown remarkable promise but remain challenging to continually improve through traditional finetuning, particularly when integrating capabilities from other specialized LLMs. Popular methods like ensemble…

Computation and Language · Computer Science 2025-06-02 Zhenglun Kong , Zheng Zhan , Shiyue Hou , Yifan Gong , Xin Meng , Pengwei Sui , Peiyan Dong , Xuan Shen , Zifeng Wang , Pu Zhao , Hao Tang , Stratis Ioannidis , Yanzhi Wang

Information systems increasingly leverage artificial intelligence (AI) and machine learning (ML) to generate value from vast amounts of data. However, ML models are imperfect and can generate incorrect classifications. Hence,…

Machine Learning · Computer Science 2023-07-10 Johannes Jakubik , Daniel Weber , Patrick Hemmer , Michael Vössing , Gerhard Satzger

The issue of estimating the detailed appliance level load consumption has received considerable attention. This paper first presents a Labelled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED), which can be used for research…

Signal Processing · Electrical Eng. & Systems 2019-11-11 Lei Yan , Jiayu Han , Runnan Xu , Zuyi Li

Energy management systems (EMS) rely on (non)-intrusive load monitoring (N)ILM to monitor and manage appliances and help residents be more energy efficient and thus more frugal. The robustness as well as the transfer potential of the most…

Machine Learning · Computer Science 2023-04-20 Blaž Bertalanič , Jakob Jenko , Carolina Fortuna

Non Intrusive Load Monitoring (NILM) or Energy Disaggregation (ED), seeks to save energy by decomposing corresponding appliances power reading from an aggregate power reading of the whole house. It is a single channel blind source…

Signal Processing · Electrical Eng. & Systems 2020-06-02 Ziyue Jia , Linfeng Yang , Zhenrong Zhang , Hui Liu , Fannie Kong

Human motion analysis is used in many different fields and applications. Currently, existing systems either focus on one single limb or one single class of movements. Many proposed systems are designed to be used in an indoor controlled…

Renewables are key enablers for the realization of a sustainable energy supply but grid operators and energy utilities have to mange their intermittent behavior and limited storage capabilities by ensuring the security of supply and power…

Systems and Control · Computer Science 2018-12-27 Marcel Otte , Fabian Leimgruber , Roland Bründlinger , Sebastian Rohjans , Aadil Latif , Thomas I. Strasser

Electricity usage is a major portion of utility bills and the best place to start lowering them. An effective home energy management approach is introduced to decrease customers' electricity bills by determining the optimal appliance…

Systems and Control · Electrical Eng. & Systems 2019-11-28 Mohammad Rasoul Narimani

Hybrid transformers are a relatively new technology that combine conventional power transformers with power electronics to provide voltage and reactive power control capabilities in distribution networks. This paper proposes a novel method…

Systems and Control · Electrical Eng. & Systems 2025-07-09 Samuel Hayward , Martin Doff-Sotta , Michael Merlin , Matthew Williams , Thomas Morstyn

Intrusion Detection is an invaluable part of computer networks defense. An important consideration is the fact that raising false alarms carries a significantly lower cost than not detecting at- tacks. For this reason, we examine how…

Cryptography and Security · Computer Science 2008-07-15 Aikaterini Mitrokotsa , Christos Dimitrakakis , Christos Douligeris

The vast spatial dimension of modern interconnected electricity grids challenges the tractability of the DC optimal power flow problem. Grid aggregation methods try to overcome this challenge by reducing the number of network elements. Many…

Optimization and Control · Mathematics 2025-11-12 Benjamin Stöckl , Yannick Werner , Sonja Wogrin

We present a method of forming and controlling large arrays of gate-defined quantum devices. The method uses a novel, on-chip, multiplexed charge-locking system and helps to overcome the restraints imposed by the number of wires available…

Mesoscale and Nanoscale Physics · Physics 2015-10-28 R. K. Puddy , L. W Smith , H. Al-Taie , C. H. Chong , I. Farrer , J. P. Griffiths , D. A. Ritchie , M. J. Kelly , M. Pepper , C. G. Smith

The smart transformer (ST) implemented using power electronics converters, has the capability of independent voltage control and reactive power isolation between its primary and secondary terminals. This capability provides a flexibility in…

Systems and Control · Electrical Eng. & Systems 2019-11-18 Junru Chen , Ran Li , Alireza Soroudi , Andrew Keane , Damian Flynn , Terence ODonnell

In comparison to the conventional complementary pull-up and pull-down logic structure, the pass transistor logic (PTL) family reduces the number of transistors required to perform logic functions, thereby reducing both area and power…

Emerging Technologies · Computer Science 2021-07-02 Xuan Hu , Amy S. Abraham , Jean Anne C. Incorvia , Joseph S. Friedman

Smart charging of Electric Vehicles (EVs) reduces operating costs, allows more sustainable battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging and improved connectivity enables efficient power grid…

Signal Processing · Electrical Eng. & Systems 2021-04-30 Karl Schwenk , Stefan Meisenbacher , Benjamin Briegel , Tim Harr , Veit Hagenmeyer , Ralf Mikut

In modern distribution systems, load uncertainty can be fully captured by micro-PMUs, which can record high-resolution data; however, in practice, micro-PMUs are installed at limited locations in distribution networks due to budgetary…

Signal Processing · Electrical Eng. & Systems 2020-12-01 Fankun Bu , Kaveh Dehghanpour , Zhaoyu Wang
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