Development of autonomous demand response system for electric load management

2016 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) ◽

10.1109/acept.2016.7811532 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yusak Tanoto ◽

Djoni Haryadi Setiabudi

Keyword(s):

Demand Response ◽

Load Management ◽

Electric Load ◽

Response System

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A Multiple-objective Neurodynamic Optimization to Electric Load Management Under Demand-Response Program

Advances in Neural Networks - ISNN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59081-3_21 ◽

2017 ◽

pp. 169-177 ◽

Cited By ~ 1

Author(s):

Xinyi Le ◽

Sijie Chen ◽

Yu Zheng ◽

Juntong Xi

Keyword(s):

Demand Response ◽

Load Management ◽

Multiple Objective ◽

Electric Load ◽

Demand Response Program

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Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ◽

10.1109/smartgridcomm47815.2020.9302964 ◽

2020 ◽

Author(s):

Mingjian Tuo ◽

Arun Venkatesh Ramesh ◽

Xingpeng Li

Keyword(s):

Real Time ◽

Demand Response ◽

Response System ◽

Time Grid

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Electric Load Management On Solar Power Plant System

2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE) ◽

10.1109/icitacee50144.2020.9239158 ◽

2020 ◽

Author(s):

Bambang Winardi ◽

Enda Wista Sinuraya ◽

Agung Nugroho ◽

Susatyo Handoko

Keyword(s):

Power Plant ◽

Solar Power ◽

Load Management ◽

Electric Load ◽

Solar Power Plant ◽

Plant System

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LSTM-based Load Curtailment Prediction in Demand Response System

2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) ◽

10.1109/icce-asia49877.2020.9276989 ◽

2020 ◽

Author(s):

Jimyung Kang ◽

Jaemoon Kim ◽

Changun Park ◽

Sungsoo Choi

Keyword(s):

Demand Response ◽

Response System ◽

Load Curtailment

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Development of a Demand Response System Integrated to Photovoltaic Microgeneration and Energy Storage Using IoT and Artificial Intelligence

2018 15th International Conference on the European Energy Market (EEM) ◽

10.1109/eem.2018.8469971 ◽

2018 ◽

Author(s):

Alisson Trindade Souza ◽

Rafael Gressler Milbradt ◽

Luciane Neves Canha ◽

Tiago Augusto Silva Santana

Keyword(s):

Artificial Intelligence ◽

Energy Storage ◽

Demand Response ◽

Response System

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Electric load management in spindle run-up and run-down for multi-spindle machine tools via optimal power-torque trajectories and peak load synchronization

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-017-1341-7 ◽

2017 ◽

Vol 95 (5-8) ◽

pp. 1819-1835 ◽

Cited By ~ 4

Author(s):

Jeremi Wójcicki ◽

Giacomo Bianchi

Keyword(s):

Machine Tools ◽

Peak Load ◽

Load Management ◽

Electric Load ◽

Optimal Power ◽

Run Up

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A Multi-Agent System Framework for Real-Time Electric Load Management in MVAC All-Electric Ship Power Systems

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2014.2340393 ◽

2015 ◽

Vol 30 (3) ◽

pp. 1327-1336 ◽

Cited By ~ 27

Author(s):

Xianyong Feng ◽

Karen L. Butler-Purry ◽

Takis Zourntos

Keyword(s):

Power Systems ◽

Real Time ◽

Load Management ◽

Electric Load ◽

Multi Agent System ◽

System Framework ◽

Agent System ◽

Electric Ship ◽

Multi Agent

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A Study on The Security Vulnerability Analysis of Open an Automatic Demand Response System

Journal of Digital Convergence ◽

10.14400/jdc.2016.14.5.333 ◽

2016 ◽

Vol 14 (5) ◽

pp. 333-339

Author(s):

Hyeon-Ho Chae ◽

June-Kyoung Lee ◽

Kyoung-Hak Lee

Keyword(s):

Demand Response ◽

Vulnerability Analysis ◽

Security Vulnerability ◽

Response System

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Investigating the Impacts of Different Price-Based Demand Response Programs on Home Load Management

Journal of Electrical Engineering and Technology ◽

10.5370/jeet.2014.9.3.1125 ◽

2014 ◽

Vol 9 (3) ◽

pp. 1125-1131 ◽

Cited By ~ 4

Author(s):

Mohammad Rastegar ◽

Mahmud Fotuhi-Firuzabad ◽

Jaeseok Choi

Keyword(s):

Demand Response ◽

Load Management ◽

Demand Response Programs

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A Highly Trusted Demand Response System Based on Block-Chain

2020 Asia Energy and Electrical Engineering Symposium (AEEES) ◽

10.1109/aeees48850.2020.9121488 ◽

2020 ◽

Author(s):

Feixiang Gong ◽

Dezhi Li ◽

Ninghui Han ◽

Shiming Tian

Keyword(s):

Demand Response ◽

Response System ◽

Block Chain

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