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Related papers: Electricity Demand and Energy Consumption Manageme…

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Owing to the call for energy efficiency, the need to optimize the energy consumption of commercial buildings-- responsible for over 40% of US energy consumption--has recently gained significant attention. Moreover, the ability to…

Systems and Control · Computer Science 2019-06-04 Mohammad Ostadijafari , Anamika Dubey , Yang Liu , Jie Shi , Nanpeng Yu

The paper proposes a computationally efficient electricity market simulation tool (MST) suitable for future grid scenario analysis. The market model is based on a unit commitment (UC) problem and takes into account the uptake of emerging…

Optimization and Control · Mathematics 2017-06-13 Shariq Riaz , Gregor Verbic , Archie C. Chapman

Estimating power consumption in modern Cloud environments is essential for carbon quantification toward green computing. Specifically, it is important to properly account for the power consumed by each of the running applications, which are…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-02 Sunyanan Choochotkaew , Chen Wang , Huamin Chen , Tatsuhiro Chiba , Marcelo Amaral , Eun Kyung Lee , Tamar Eilam

Our simulation-based experiments are aimed to demonstrate a use case on the feasibility of fulfillment of global energy demand by primarily relying on solar energy through the integration of a longitudinally-distributed grid. These…

Computers and Society · Computer Science 2022-06-14 Harsh Vardhan , Neal M Sarkar , Himanshu Neema

Automated inspection plays an important role in monitoring large-scale photovoltaic power plants. Commonly, electroluminescense measurements are used to identify various types of defects on solar modules but have not been used to determine…

Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management. We worked closely with energy experts and identified the key elements of the energy demand problem including temporal and…

Human-Computer Interaction · Computer Science 2020-06-18 Junqi Wu , Zhibin Niu , Jing Wu , Xiufeng Liu , Jiawan Zhang

Ensuring sustainability demands more efficient energy management with minimized energy wastage. Therefore, the power grid of the future should provide an unprecedented level of flexibility in energy management. To that end, intelligent…

Neural and Evolutionary Computing · Computer Science 2018-11-29 Daniel L. Marino , Kasun Amarasinghe , Milos Manic

An effective way to oppose global warming and mitigate climate change is to electrify our energy sectors and supply their electric power from renewable wind and solar. Spatio-temporal predictions of electric load become increasingly…

Machine Learning · Computer Science 2022-11-23 Arsam Aryandoust , Anthony Patt , Stefan Pfenninger

Recent studies indicate that the effects of inter-annual climate-based variability in power system planning are significant and that long samples of demand & weather data (spanning multiple decades) should be considered. At the same time,…

Applications · Statistics 2019-05-30 Adriaan P Hilbers , David J Brayshaw , Axel Gandy

With increasing energy prices, low income households are known to forego or minimize the use of electricity to save on energy costs. If a household is on a prepaid electricity program, it can be automatically and immediately disconnected…

Systems and Control · Electrical Eng. & Systems 2024-08-28 Maitreyee Marathe , Line A. Roald

Home Energy Management Systems (HEMS) are being actively developed for both individual houses and communities to support demand response in on-grid operation, and ensure resilience during off-grid scenarios. However, most simulators used…

Systems and Control · Electrical Eng. & Systems 2025-08-13 Ninad Gaikwad , Anamika Dubey

Efficient and sustainable power generation is a crucial concern in the energy sector. In particular, thermal power plants grapple with accurately predicting steam mass flow, which is crucial for operational efficiency and cost reduction. In…

Machine Learning · Computer Science 2025-08-14 Andrii Kurkin , Jonas Hegemann , Mo Kordzanganeh , Alexey Melnikov

Model predictive control (MPC) has been shown to significantly improve the energy efficiency of buildings while maintaining thermal comfort. Data-driven approaches based on neural networks have been proposed to facilitate system modelling.…

Systems and Control · Electrical Eng. & Systems 2024-08-19 Marie-Christine Paré , Vasken Dermardiros , Antoine Lesage-Landry

The scheduling problem in additive manufacturing is receiving increasing attention; however, few have considered the effect of scheduling decisions on machine energy consumption. This research focuses on the nesting and scheduling problem…

Optimization and Control · Mathematics 2024-10-22 Chunlong Yu , Junjie Lin

The widespread diffusion of distributed energy resources, especially those based on renewable energy, and energy storage devices has deeply modified power systems. As a consequence, demand response, the ability of customers to respond to…

Systems and Control · Electrical Eng. & Systems 2021-04-21 Francesco Conte , Matteo Saviozzi , Samuele Grillo

Accurate knowledge of temperatures in power semiconductor modules is crucial for proper thermal management of such devices. Precise prediction of temperatures allows to operate the system at the physical limit of the device avoiding…

Signal Processing · Electrical Eng. & Systems 2020-06-15 Jakub Ševčík , Václav Šmídl , Ondřej Straka

An important part of the Smart Grid literature on residential Demand Response deals with game-theoretic consumption models. Among those papers, the hourly billing model is of special interest as an intuitive and fair mechanism. We focus on…

Optimization and Control · Mathematics 2017-12-27 Paulin Jacquot , Olivier Beaude , Stéphane Gaubert , Nadia Oudjane

The growing integration of distributed energy resources (DERs) into the power grid necessitates an effective coordination strategy to maximize their benefits. Acting as an aggregator of DERs, a virtual power plant (VPP) facilitates this…

Information Theory · Computer Science 2024-06-04 Pratik Harsh , Hongjian Sun , Debapriya Das , Goyal Awagan , Jing Jiang

Electricity load forecasting for buildings and campuses is becoming increasingly important as the penetration of distributed energy resources (DERs) grows. Efficient operation and dispatch of DERs require reasonably accurate predictions of…

Signal Processing · Electrical Eng. & Systems 2021-12-20 Sakshi Mishra , Stephen M. Frank , Anya Petersen , Robert Buechler , Michelle Slovensky

Future electricity distribution grids will host a considerable share of the renewable energy sources needed for enforcing the energy transition. Demand side management mechanisms play a key role in the integration of such renewable energy…

Systems and Control · Computer Science 2019-04-16 José Horta , Eitan Altman , Mathieu Caujolle , Daniel Kofman , David Menga