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The presence of behind-the-meter rooftop photovoltaics and storage in the residential sector is poised to increase significantly. Here we quantify in detail the value of these technologies to consumers and service providers. We characterize…

Systems and Control · Computer Science 2018-09-14 Siddharth Patel , Mohammad Rasouli , Junjie Qin , Ram Rajagopal

Using hourly energy consumption data recorded by smart meters, retailers can estimate the day-ahead energy consumption of their customer portfolio. Deep neural networks are especially suited for this task as a huge amount of historical…

Signal Processing · Electrical Eng. & Systems 2021-10-06 Oliver Mey , André Schneider , Olaf Enge-Rosenblatt , Yesnier Bravo , Pit Stenzel

Modern power systems are experiencing the challenge of high uncertainty with the increasing penetration of renewable energy resources and the electrification of heating systems. In this paradigm shift, understanding electricity users'…

Machine Learning · Computer Science 2022-11-15 Rui Yuan , S. Ali Pourmousavi , Wen L. Soong , Giang Nguyen , Jon A. R. Liisberg

Power systems engineers are actively developing larger power plants out of photovoltaics imposing some major challenges which include its intermittent power generation and its poor dispatchability. The issue is that PV is a variable…

Systems and Control · Electrical Eng. & Systems 2023-03-17 Hugo Riggs , Shahid Tufail , Mohd Tariq , Arif Sarwat

Increased distributed Photo-Voltaic (PV) generation leads to an increase in voltages and unwarranted backflows into the grid. This paper investigates Demand Response (DR) with Electric Water Heaters (EWHs) as a way to increase the PV…

Systems and Control · Computer Science 2014-08-08 Xiangkun Li , Theodor Borsche , Göran Andersson

Heating, ventilating, and air-conditioning (HVAC) systems consume a large amount of energy in residential houses and buildings. Effective energy management of HVAC is a cost-effective way to improve energy efficiency and reduce the energy…

Systems and Control · Electrical Eng. & Systems 2021-06-01 Qing Yang , Hao Wang

The large scale deployment of Advanced Metering Infrastructure among residential energy customers has served as a boon for energy systems research relying on granular consumption data. Residential Demand Response aims to utilize the…

Systems and Control · Computer Science 2016-07-05 Datong Zhou , Maximilian Balandat , Claire Tomlin

The rapid expansion of distributed rooftop photovoltaic (PV) systems introduces increasing uncertainty in distribution grid planning, hosting capacity assessment, and voltage regulation. Reliable estimation of rooftop PV deployment from…

Image and Video Processing · Electrical Eng. & Systems 2026-03-25 Muhao Guo , Lihao Mai , Erik Blasch , Jafarali Parol , Turki Rakan , Yang Weng

We consider the problem of co-optimizing behind-the-meter (BTM) storage and flexible demands with BTM stochastic renewable generation. Under a generalized net energy metering (NEM) policy-NEM X, we show that the optimal co-optimization…

Systems and Control · Electrical Eng. & Systems 2024-05-01 Ahmed S. Alahmed , Lang Tong

Residential customers have traditionally not been treated as individual entities due to the high volatility in residential consumption patterns as well as a historic focus on aggregated loads from the utility and system feeder perspective.…

This paper provides an analytical framework to incorporate the deployment of behind-the-meter energy storage coupled with rooftop solar, and their associated revenue streams, in the context of equitable energy policy interventions. We…

Optimization and Control · Mathematics 2024-08-15 Miguel Heleno , Paul Lesur , Alexandre Moreira

In this paper, we investigate whether "big-data" is more valuable than "precise" data for the problem of energy disaggregation: the process of breaking down aggregate energy usage on a per-appliance basis. Existing techniques for…

Machine Learning · Computer Science 2015-11-11 Nipun Batra , Amarjeet Singh , Kamin Whitehouse

With the proliferation of smart grids, smart cities face growing challenges due to cyber-attacks and sophisticated electricity theft behaviors, particularly in residential photovoltaic (PV) generation systems. Traditional Electricity Theft…

Machine Learning · Computer Science 2025-05-27 Xiaolu Chen , Chenghao Huang , Yanru Zhang , Hao Wang

It is anticipated that penetration of renewable energy sources (RESs) in power systems will increase further in the next decades mainly due to environmental issues. In the long term of several decades, which we refer to in terms of the…

Optimization and Control · Mathematics 2014-12-11 Hesamoddin Marzooghi , David J. Hill , Gregor Verbic

Enhancing the spatio-temporal observability of distributed energy resources (DERs) is crucial for achieving secure and efficient operations in distribution grids. This paper puts forth a joint recovery framework for residential loads by…

Signal Processing · Electrical Eng. & Systems 2021-08-24 Shanny Lin , Hao Zhu

Renewable Energies (RES) penetration is progressing rapidly: in France, the installed capacity of photovoltaic (PV) power rose from 26MW in 2007 to 8GW in 2017 [1]. Power generated by PV plants being highly dependent on variable weather…

Applications · Statistics 2019-10-15 Kevin Bellinguer , Robin Girard , Guillaume Bontron , Georges Kariniotakis

The increasing uptake of residential PV-battery systems is bound to significantly change demand patterns of future power systems and, consequently, their dynamic performance. In this paper, we propose a generic demand model that captures…

Optimization and Control · Mathematics 2017-09-14 Hesamoddin Marzooghi , Shariq Riaz , Gregor Verbic , Archie C. Chapman , David J. Hill

The residential electrical energy scheduling of solar Photovoltaics (PV) is an important research area of the modern green buildings. On the demand side, factors such as building load, and the renewable PV energy resources are integrated…

Systems and Control · Electrical Eng. & Systems 2021-03-16 Sara Zainaa , Shima Sadaf , Ansaruddin Kunjuc , Mohammad Meraj , Devrim Unal , Farid Touati

The increasing penetration of variable renewable energy (VRE) has brought significant challenges for power systems planning and operation. These highly variable sources are typically distributed in the grid; therefore, a detailed…

Photovoltaic (PV) energy is rapidly growing and key to mitigating the energy crisis. However, distributed PV generation, which amounts to half of the PV installed capacity, is typically unavailable to transmission system operators (TSOs),…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Gabriel Kasmi , Laurent Dubus , Philippe Blanc , Yves-Marie Saint-Drenan