Data-Driven Load Modeling to Analyze the Frequency of System including Demand Response: a Colombian Study Case

IEEE Access ◽

10.1109/access.2021.3069006 ◽

2021 ◽

pp. 1-1

Author(s):

Adriana Arango-Manrique ◽

Luis Lopez ◽

Juan Ramirez-Ortiz ◽

Ingrid Oliveros

Keyword(s):

Demand Response ◽

Data Driven ◽

Load Modeling ◽

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Data-Driven Resource Planning for Virtual Power Plant Integrating Demand Response Customer Selection and Storage

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3068402 ◽

2021 ◽

pp. 1-1

Author(s):

Huishi Liang ◽

Jin Ma

Keyword(s):

Power Plant ◽

Demand Response ◽

Resource Planning ◽

Data Driven ◽

Virtual Power ◽

Virtual Power Plant ◽

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Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression

Building Simulation ◽

10.1007/s12273-021-0811-x ◽

2021 ◽

Author(s):

Rui Tang ◽

Cheng Fan ◽

Fanzhe Zeng ◽

Wei Feng

Keyword(s):

Model Predictive Control ◽

Support Vector Regression ◽

Predictive Control ◽

Demand Response ◽

Demand Management ◽

Commercial Buildings ◽

Data Driven ◽

Support Vector ◽

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A two-stage data-driven multi-energy management considering demand response

Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers ◽

10.1145/3410530.3414587 ◽

2020 ◽

Author(s):

Pengfei Zhao ◽

Chenghong Gu ◽

Zhidong Cao ◽

Yue Xiang ◽

Xiaohe Yan ◽

...

Keyword(s):

Energy Management ◽

Demand Response ◽

Data Driven ◽

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Data-driven stochastic unit commitment considering commercial air conditioning aggregators to provide multi-function demand response

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.106790 ◽

2021 ◽

Vol 129 ◽

pp. 106790

Author(s):

Lingling Le ◽

Jiakun Fang ◽

Menglin Zhang ◽

Kaiwen Zeng ◽

Xiaomeng Ai ◽

...

Keyword(s):

Demand Response ◽

Air Conditioning ◽

Unit Commitment ◽

Data Driven ◽

Stochastic Unit Commitment

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Model-Based and Data-Driven HVAC Control Strategies for Residential Demand Response

IEEE Open Access Journal of Power and Energy ◽

10.1109/oajpe.2021.3075426 ◽

2021 ◽

pp. 1-1

Author(s):

Xiao Kou ◽

Yan Du ◽

Fangxing Li ◽

Hector Pulgar-Painemal ◽

Helia Zandi ◽

...

Keyword(s):

Demand Response ◽

Control Strategies ◽

Data Driven ◽

Model Based ◽

Hvac Control ◽

Residential Demand

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Data-Driven Examination of the Impact Energy Efficiency Has on Demand Response Capabilities in Commercial Buildings

SSRN Electronic Journal ◽

10.2139/ssrn.3892699 ◽

2021 ◽

Author(s):

Abigail Andrews ◽

Jonathan Roth ◽

Rishee Kumar Jain ◽

Johanna Mathieu

Keyword(s):

Energy Efficiency ◽

Impact Energy ◽

Demand Response ◽

Commercial Buildings ◽

Data Driven ◽

On Demand ◽

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Co-Optimization of VaR and CVaR for Data-Driven Stochastic Demand Response Auction

IEEE Control Systems Letters ◽

10.1109/lcsys.2020.2997259 ◽

2020 ◽

Vol 4 (4) ◽

pp. 940-945

Author(s):

Matt Roveto ◽

Robert Mieth ◽

Yury Dvorkin

Keyword(s):

Demand Response ◽

Stochastic Demand ◽

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A Data-Driven Approach to Assessing and Improving Stochastic Residential Load Modeling for District-Level Simulations and PV Integration

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ◽

10.1109/pmaps47429.2020.9183420 ◽

2020 ◽

Author(s):

Robbert Claeys ◽

Christina Protopapadaki ◽

Dirk Saelens ◽

Jan Desmet

Keyword(s):

District Level ◽

Data Driven ◽

Load Modeling ◽

Data Driven Approach

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Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID

Omega ◽

10.1016/j.omega.2020.102233 ◽

2020 ◽

pp. 102233

Author(s):

Zhaohua Wang ◽

Wenhui Zhao ◽

Nana Deng ◽

Bin Zhang ◽

Bo Wang

Keyword(s):

Decision Making ◽

Empirical Evidence ◽

Demand Response ◽

Dynamic Time Warping ◽

Data Driven ◽

Time Warping ◽

Data Driven Decision Making ◽

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Improved modelling of electric loads for enabling demand response by applying physical and data-driven models: Project Response

2018 IEEE International Energy Conference (ENERGYCON) ◽

10.1109/energycon.2018.8398794 ◽

2018 ◽

Author(s):

Pekka Koponen ◽

Seppo Hanninen ◽

Antti Mutanen ◽

Juha Koskela ◽

Antti Rautiainen ◽

...

Keyword(s):

Demand Response ◽

Data Driven ◽

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