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A Minimal Incentive-based Demand Response Program With Self Reported Baseline Mechanism [article]

Deepan Muthirayan, Enrique Baeyens, Pratyush Chakraborty, Kameshwar Poolla, Pramod P. Khargonekar
2019 arXiv   pre-print
In this paper, we propose a novel incentive based Demand Response (DR) program with a self reported baseline mechanism.  ...  The recruited consumers are required to only report their baseline, which is the minimal information necessary for any DR program.  ...  Incentive-Based Demand Response Program The SO signals a DR event when the market price exceeds the TMC price. The novel DR program that we propose comprises a self-reported baseline mechanism.  ... 
arXiv:1901.02923v3 fatcat:bnmaylwsjnavpgocdvm6iffuee

Demand response in electricity markets: A review

Qin Zhang, Juan Li
2012 2012 9th International Conference on the European Energy Market  
With price signals and incentive mechanisms, DR is crucial to both power system reliability and market efficiency.  ...  Index Terms-Demand response, electricity markets, electricity price, incentive, price elasticity of demand.  ...  INCENTIVE-BASED DR PROGRAMS A.  ... 
doi:10.1109/eem.2012.6254817 fatcat:il4t5ookt5dzxanvnxhxef7k24

Mechanism Design for Demand Response Programs [article]

Deepan Muthirayan, Dileep Kalathil, Kameshwar Poolla, Pravin Varaiya
2019 arXiv   pre-print
This creates an incentive for agents to inflate their baselines. We propose a novel self-reported baseline mechanism (SRBM) where each agent reports its baseline and marginal utility.  ...  Demand Response (DR) programs serve to reduce the consumption of electricity at times when the supply is scarce and expensive. The utility informs the aggregator of an anticipated DR event.  ...  Let C denote the class of self-reporting baseline mechanisms with linear reward and penalty functions.  ... 
arXiv:1712.07742v3 fatcat:d62n4kwthzaxzcey653e2tynbq

Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines [article]

Douglas Ellman, Yuanzhang Xiao
2019 arXiv   pre-print
We study operations of a battery energy storage system under a baseline-based demand response (DR) program with an uncertain schedule of DR events.  ...  Finally, we apply our solutions to study an example residential customer with solar photovoltaic and battery systems participating in a typical existing baseline-based DR program.  ...  The customer participates in a baseline-based demand response program and is subject to a certain electricity tariff.  ... 
arXiv:1909.12349v1 fatcat:uyisnfdgm5hrfogt4dvq7uc3ky

A window into occupant-driven energy outcomes: Leveraging sub-metering infrastructure to examine psychosocial factors driving long-term outcomes of short-term competition-based energy interventions

Kyle Konis, Michael Orosz, Nicole Sintov
2016 Energy and Buildings  
We compared energy data with self-reported survey data and identified self-efficacy beliefs, pro-environmental behaviors, and sense of affiliation with other residents of the hall as key factors distinguishing  ...  Demand response Reducing overall consumption is one important goal, and maintaining a reliable power supply is a second, equally important, objective.  ...  Incentives were funded by the USC Office of Residential Life.  ... 
doi:10.1016/j.enbuild.2016.01.005 fatcat:da3pauiiuzadllvewuuy2vuuzu

Combining self-management cues with incentives to promote interdental cleaning among Indian periodontal disease outpatients

Pempa Lhakhang, Kyra Hamilton, Nayantara Sud, Shonali Sud, Jeroen Kroon, Nina Knoll, Ralf Schwarzer
2016 BMC Oral Health  
The current study sought to examine whether a brief oral health promotion program (self-management cues that were based on self-efficacy and self-regulatory skills) in combination with an incentive (free  ...  Conclusions: Combining incentives with minimal self-management cues has been found effective in improving interdental cleaning intentions and habits in periodontal disease patients, and the facilitating  ...  The program consisted of two components: a worksheet with self-management cues and free dental treatment as an incentive.  ... 
doi:10.1186/s12903-016-0164-5 pmid:26822537 pmcid:PMC4731919 fatcat:x2qay4thm5gdveqqdtcxrulvzq

Blockchain-Enabled Energy Demand Side Management Cap and Trade Model

Alain Aoun, Hussein Ibrahim, Mazen Ghandour, Adrian Ilinca
2021 Energies  
The second strategy is demand-side oriented rather than the supply side. Demand-side management, demand response (DR), and energy efficiency (EE) programs fall under this category.  ...  The introduced DSM model is based on the concept of capping consumers' monthly energy consumption and rewarding consumers who do not exceed this cap with energy tradeable credits that can be traded using  ...  The second step proposes an incentive paid to the consumer based on load reduction for a specific baseline rate.  ... 
doi:10.3390/en14248600 fatcat:hlgaqhaa2rbnxguaugeqpxitni

Appliance-level Flexible Scheduling for Socio-technical Smart Grid Optimization

Farzam Fanitabasi, Evangelos Pournaras
2020 IEEE Access  
Participation in residential energy demand response programs requires an active role by consumers.  ...  To capture and study such socio-technical factors and trade-offs, this paper contributes a novel appliance-level flexible scheduling framework based on consumers' self-determined flexibility and comfort  ...  Furthermore, depending on their intrinsic interests and incentives, consumers can decide to further cooperate with the demand response program (i.e., voluntarily contribute flexibility), and sacrifice  ... 
doi:10.1109/access.2020.3001763 fatcat:6lp7yd6y5rbyxlkxalzwai76zq

End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning [article]

Yuanyuan Shi, Bolun Xu
2021 arXiv   pre-print
This paper proposes a novel end-to-end deep learning framework that simultaneously identifies demand baselines and the incentive-based agent demand response model, from the net demand measurements and  ...  We demonstrate the effectiveness of our approach through computation experiments with synthetic demand response traces and a large-scale real world demand response dataset.  ...  mechanisms that encourage participants to truthfully report baselines base on the best of their knowledge [9] , [13] .  ... 
arXiv:2109.00741v1 fatcat:5mdxdncqzrefpllhl42rlwdbhe

Optimal Portfolio Selection Methodology for a Demand Response Aggregator

Pedro Nel Ovalle, José Vuelvas, Arturo Fajardo, Carlos Adrián Correa-Flórez, Fredy Ruiz
2021 Energies  
This paper presents a methodology for determining the optimal portfolio allocation for a demand response aggregator.  ...  Four types of contracts are analyzed, considering both direct and indirect demand response programs.  ...  Pontificia Universidad Javeriana through the research project titled "Diseño de mecanismos y control óptimo de portafolios para agregadores de respuesta de la demanda en mercados eléctricos". identified with  ... 
doi:10.3390/en14237923 fatcat:nc53dpp6mzdjjagz3bgx3hgrai

Fostering economic demand response in the Midwest ISO☆

A. Faruqui, A. Hajos, R.M. Hledik, S.A. Newell
2010 Energy  
To address this, some states have regulatory measures in place to either remove this disincentive, or provide a financial incentive to pursue demand-side programs. 78 The regulatory mechanisms fall into  ...  Response Program [12]: Real Time Profiled Response Program [13]: Real-Time Price Response Program [14]: Day-Ahead Load Response Program [15]: Currently as part of the Demand Response Reserve Pilot  ...  This estimate is based on a review of various utility IRPs and is generally consistent with the MISO program-specific research that we performed as part of its Module E study.  ... 
doi:10.1016/ fatcat:rzfk5xdehvathnt4eicxpw5exm

A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial

Catherine Stanger, Tobias Kowatsch, Haiyi Xie, Inbal Nahum-Shani, Frances Lim-Liberty, Molly Anderson, Prabhakaran Santhanam, Sarah Kaden, Briana Rosenberg
2021 JMIR Research Protocols  
Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes.  ...  Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control.  ...  Conflicts of Interest TK and PS are affiliated with the Center for Digital Health Interventions [134] , a joint initiative of the Department of Management, Technology, and Economics at ETH Zurich and  ... 
doi:10.2196/27109 pmid:33620330 pmcid:PMC7943343 fatcat:jf7tf2vf4rcm5lhh7hw5dmfdxm

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

Mahmood et al., Department of Computer Science, SZABIST Islamabad Campus, Islamabad, Pakistan
2021 International Journal of Advanced and Applied Sciences  
Using Demand Side Management (DSM), end users can manipulate their power consumption patterns such that electricity bills, as well as Peak to Average Ratio (PAR), are reduced.  ...  Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems.  ...  Moreover, the authors formulated a binary linear programming problem by using a day-ahead pricing mechanism and used game theory to optimize demand response.  ... 
doi:10.21833/ijaas.2021.07.007 fatcat:ybwcgynwbbgp7a55j2uuuiwkja

Dorsal Anterior Cingulate Cortex Encodes the Integrated Incentive Motivational Value of Cognitive Task Performance

Debbie M. Yee, Jennifer L. Crawford, Bidhan Lamichhane, Todd S. Braver
2021 Journal of Neuroscience  
When bundled together, incentive-related dACC modulation predicted fluctuations in both cognitive performance and self-report motivation ratings.  ...  Healthy young adult men and women were scanned with fMRI while engaged in an experimental paradigm that quantifies the combined effects of liquid (e.g., juice, neutral, saltwater) and monetary incentives  ...  Each participant's reward criterion (40%) was calculated based on their response times in the baseline runs.  ... 
doi:10.1523/jneurosci.2550-20.2021 fatcat:bsxidbpmbrdedbw57mt7ejlq2u

Simulated Value-Based Insurance Design Applied to Statin Use by Medicare Beneficiaries with Diabetes

Amy Davidoff, Ruth Lopert, Bruce Stuart, Thomas Shaffer, Jennifer T. Lloyd, J. Samantha Shoemaker
2012 Value in Health  
To examine cost responsiveness and total costs associated with a simulated "value-based" insurance design for statin therapy in a Medicare population with diabetes.  ...  Methods: Four-year panels were constructed from the 1997-2005 Medicare Current Beneficiary Survey selected by self-report or claims-based diagnoses of diabetes in year 1 and use of statins in year 2 (N  ...  Lloyd's effort was supported by a grant provided by the National Institute on Aging (grant number T32 AG000262).  ... 
doi:10.1016/j.jval.2012.01.008 pmid:22583449 pmcid:PMC3864093 fatcat:zudjdly5sfb5jhwfutvg5vb7uu
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