pith. sign in

arxiv: 2606.03511 · v1 · pith:I6Z6GOKCnew · submitted 2026-06-02 · 📡 eess.SY · cs.SY

Enhancing Collective Self-Consumption through Water Storage Heater Flexibility

Pierre-Yves Mass\'e , Maylis Duru , Benoit Couraud , Haicheng Ling , Solal Bizeul , Hugo Roussel , Cl\'ea Verdot , Mariane Vittoz
show 7 more authors
Estefania Alvarez Merlinda Andoni Yann Rozier Sonam Norbu David Flynn Erwin Franquet Thibault Rihet
This is my paper

Pith reviewed 2026-06-28 08:48 UTC · model grok-4.3

classification 📡 eess.SY cs.SY
keywords collective self-consumptionrenewable energy communitieswater storage heatersdemand-side flexibilitysolar PVenergy bill reductionuser acceptance
0
0 comments X

The pith

Water storage heater flexibility in a French renewable energy community delivers an average 70 euro annual household benefit while raising solar self-consumption by 6 percent.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper tests whether water storage heaters can serve as distributed thermal storage to improve collective self-consumption schemes that pair households with shared solar PV. An annual simulation compares three cases for 41 households: no community scheme, standard collective self-consumption, and collective self-consumption with heater flexibility. The flexible case produces 70 euro yearly bill savings per household on average. It also lifts community self-consumption of solar by 6 percent and self-production by 22 percent. A real deployment in the same community then records technical results and resident feedback on acceptance.

Core claim

In a community of 41 households served by a large solar PV plant, adding flexibility from water storage heaters to a collective self-consumption arrangement increases solar self-consumption by 6 percent and self-production by 22 percent while cutting average household energy bills by 70 euros per year, as measured in annual simulations and observed in the subsequent real-world rollout.

What carries the argument

Annual simulation comparing three scenarios (no CSC, standard CSC, CSC plus water heater flexibility) on 41 households, followed by real-world deployment measuring technical performance and user reception.

If this is right

  • Households achieve an average 70 euro yearly reduction in energy bills.
  • Community self-consumption of solar PV rises by 6 percent.
  • Community self-production of solar PV rises by 22 percent.
  • Factors shaping resident engagement and satisfaction can be identified from the deployment.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Similar heater flexibility could be tested in other renewable energy communities to check whether the same percentage gains hold under different climate or usage patterns.
  • The approach might reduce peak grid imports if the same control logic is applied across more households.
  • User acceptance data points to the need for controls that preserve hot-water comfort as a condition for wider adoption.

Load-bearing premise

The annual simulation model correctly reproduces household hot-water usage patterns, heater control behavior, and solar generation variability so that the reported bill savings and self-consumption gains would appear under real operating conditions.

What would settle it

Real deployment data showing annual household bill reductions or community self-consumption rates that differ substantially from the simulated 70 euro savings and 6 percent increase.

Figures

Figures reproduced from arXiv: 2606.03511 by Benoit Couraud, Cl\'ea Verdot, David Flynn, Erwin Franquet, Estefania Alvarez, Haicheng Ling, Hugo Roussel, Mariane Vittoz, Maylis Duru, Merlinda Andoni, Pierre-Yves Mass\'e, Solal Bizeul, Sonam Norbu, Thibault Rihet, Yann Rozier.

Figure 1
Figure 1. Figure 1: Daily load and production profiles of the [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Comparison of payback periods among the scenarios considered [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Comparison of individual bill reduction with respect to the baseline scenario (no community) in the two scenarios: community without flexibility (orange), and community with flexibility (blue). For instance, member 17 reduces their bill by 25% with￾out flexibility, and by more than 30% with flexibility. crease community PV self-consumption, i.e. to reduce the PV surplus exported to the grid by shifting WSH… view at source ↗
Figure 4
Figure 4. Figure 4: Process for WSH flexibility integration in the community. [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Experimentation setup important first steps in this promising direction. The following section presents the setup of a real￾world implementation of demand side flexibility in the studied community. 3 REAL-WORLD PILOT SETUP This section presents the operational configura￾tion and setup of the real-world implementation in the energy community from Cœur de Savoie. 3.1 Recruitment of volunteers Volunteers for … view at source ↗
Figure 6
Figure 6. Figure 6: Distribution of daily forecasting accuracy [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Typical day with good forecast, and suc [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Evolution of self-sufficiency rate for one [PITH_FULL_IMAGE:figures/full_fig_p010_8.png] view at source ↗
read the original abstract

While Renewable Energy Communities (RECs) and Collective Self-Consumption (CSC) schemes have emerged as promising tools to accelerate renewable energy adoption and support the net-zero transition, their full potential can only be realised when complemented by demand-side flexibility that aligns consumption with renewable generation. Water storage heaters can function as distributed thermal storage, absorbing excess renewable energy at the community level. This work quantifies both the benefits of water storage heaters flexibility for energy consumers in a CSC community in France (such as energy bill reduction, increase of self-consumption), and the challenges related to the implementation and user acceptance. At the first stage, an annual simulation analysis is performed on a community of 41 households and a large solar PV plant, comparing a scenario without a CSC community, a scenario with a standard CSC community, and a scenario with a CSC community with flexibility from water storage heaters, which showed that an average benefit of 70euro/year per household can be achieved due to flexibility and an increase of 6% and 22% of solar PV community self-consumption and self-production respectively. In the second stage, we present the results of the real-world deployment in the community, analysing its technical performance and user reception, and examine the main factors shaping user engagement and satisfaction.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript claims that water storage heater flexibility can enhance collective self-consumption in a French Renewable Energy Community of 41 households with a large PV plant. An annual simulation comparing a no-CSC baseline, standard CSC, and CSC-with-flexibility scenario yields an average household benefit of 70 €/year together with +6 % community self-consumption and +22 % self-production; a subsequent real-world deployment is presented with technical performance metrics and user-acceptance analysis.

Significance. If the simulation model is shown to be faithful to measured hot-water demand and control response, and if the deployment data corroborate the predicted gains, the work would supply concrete evidence that domestic thermal storage can deliver measurable bill savings and renewable integration benefits inside CSC schemes, while also surfacing practical implementation and acceptance issues.

major comments (2)
  1. [Simulation analysis] Simulation stage (abstract and corresponding methods/results section): the headline quantitative claims (70 €/yr, +6 % self-consumption, +22 % self-production) are generated by an annual simulation whose hot-water usage time series, thermal-storage dynamics, and heater-control logic are not shown to have been calibrated or validated against measured data from the same 41 households; without such validation the reported benefits cannot be distinguished from artifacts of the synthetic demand profiles.
  2. [Real-world deployment] Real-world deployment section: no direct back-to-back comparison (e.g., measured self-consumption or bill data before versus after flexibility activation, or flexible versus non-flexible households) is reported that would allow the simulation outputs to be tested against actual operating conditions.
minor comments (2)
  1. [Abstract] The abstract states the three scenarios but does not indicate the simulation time step, weather year, or tariff structure used to compute the 70 € figure.
  2. Notation for self-consumption versus self-production should be defined explicitly when first introduced.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback highlighting the need for clearer validation of the simulation model and stronger linkage to the deployment results. We address each major comment below and propose targeted revisions to improve transparency without altering the core claims.

read point-by-point responses

  1. Referee: [Simulation analysis] Simulation stage (abstract and corresponding methods/results section): the headline quantitative claims (70 €/yr, +6 % self-consumption, +22 % self-production) are generated by an annual simulation whose hot-water usage time series, thermal-storage dynamics, and heater-control logic are not shown to have been calibrated or validated against measured data from the same 41 households; without such validation the reported benefits cannot be distinguished from artifacts of the synthetic demand profiles.

    Authors: We agree that the simulation relies on standard hot-water demand profiles drawn from the literature (e.g., typical French household usage patterns) rather than household-specific measurements from the 41 participants. The thermal-storage dynamics follow established first-order models, and the control logic implements a simple excess-PV priority rule. No direct calibration against the community's measured data was performed. In the revised manuscript we will add an explicit subsection in Methods describing the profile sources, their representativeness, and a sensitivity analysis on key parameters. We will also qualify the headline figures as model-based estimates and note that the subsequent real-world deployment provides qualitative corroboration through observed control behavior. revision: yes

  2. Referee: [Real-world deployment] Real-world deployment section: no direct back-to-back comparison (e.g., measured self-consumption or bill data before versus after flexibility activation, or flexible versus non-flexible households) is reported that would allow the simulation outputs to be tested against actual operating conditions.

    Authors: The deployment section reports technical metrics (response time, activation success rate) and user-acceptance results collected while the flexibility service was active. A quantitative before/after comparison of community-level self-consumption was not feasible because the CSC scheme and the water-heater flexibility layer were commissioned together; pre-flexibility baseline data at the required granularity were not archived. We acknowledge this prevents a direct empirical test of the simulated deltas. In revision we will expand the deployment section to include the project timeline, explicitly state the absence of a controlled baseline, and discuss how the measured technical performance (e.g., successful shifting of heater load) is consistent with the assumptions used in simulation. revision: yes

Circularity Check

0 steps flagged

No circularity: simulation outputs are model-dependent but not forced by construction or self-citation

full rationale

The paper reports quantitative benefits (70 €/yr per household, +6 % self-consumption, +22 % self-production) from an annual simulation of three scenarios on 41 households. No equations, fitted parameters, or derivation steps are presented that reduce these outputs to the input assumptions by construction. No self-citations are invoked as load-bearing uniqueness theorems or ansatzes. The results are therefore simulation-dependent rather than tautological; any concerns about validation or realism fall under model accuracy, not circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central numerical claims rest on the unstated validity of the simulation model and the assumption that heater flexibility can be implemented at scale without major comfort or acceptance penalties; no free parameters or invented entities are identifiable from the abstract alone.

axioms (1)
  • domain assumption Water storage heaters can be flexibly controlled to shift load while maintaining acceptable user comfort
    Invoked to justify the flexibility scenario that produces the reported savings and self-consumption increases.

pith-pipeline@v0.9.1-grok · 5817 in / 1219 out tokens · 30179 ms · 2026-06-28T08:48:49.269178+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

140 extracted references · 49 canonical work pages

  1. [1]

    Applied Energy , volume=

    Improving energy distribution in collective self-consumption via XGBoost-based allocation coefficients prediction , author=. Applied Energy , volume=. 2026 , publisher=

    2026

  2. [2]

    2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) , pages=

    Quantifying, Activating and Rewarding Flexibility in Renewable Energy Communities , author=. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) , pages=. 2024 , organization=

    2024

  3. [3]

    Energy and Buildings , pages=

    Demand response for renewable energy communities: Exploring coordination of prosumer-generated PV and flexible aggregated demand in the Italian framework , author=. Energy and Buildings , pages=. 2025 , publisher=

    2025

  4. [4]

    Smart Energy , pages=

    Smart flexibility in energy communities: Scenario-based analysis of distribution grid implications and economic impacts , author=. Smart Energy , pages=. 2025 , publisher=

    2025

  5. [5]

    Journal of Cleaner Production , volume=

    Are energy community members more flexible than individual prosumers? Evidence from a serious game , author=. Journal of Cleaner Production , volume=. 2024 , publisher=

    2024

  6. [6]

    Renewable and Sustainable Energy Reviews , volume=

    Flexibility of grid interactive water heaters: The situation in the US , author=. Renewable and Sustainable Energy Reviews , volume=. 2023 , publisher=

    2023

  7. [7]

    2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) , pages=

    Single household domestic water heater design and control utilising PV energy: The untapped energy storage solution , author=. 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) , pages=. 2015 , organization=

    2015

  8. [8]

    Renewable and Sustainable Energy Reviews , volume=

    Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective , author=. Renewable and Sustainable Energy Reviews , volume=. 2022 , publisher=

    2022

  9. [9]

    Energy and Buildings , volume=

    Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation , author=. Energy and Buildings , volume=. 2023 , publisher=

    2023

  10. [10]

    Buildings , volume=

    Insights into end users’ acceptance and participation in energy flexibility strategies , author=. Buildings , volume=. 2023 , publisher=

    2023

  11. [11]

    Sensors , VOLUME =

    Abrahamsen, Fredrik Ege and Ai, Yun and Cheffena, Michael , TITLE =. Sensors , VOLUME =. 2021 , NUMBER =

    2021

  12. [12]

    2025 , eprint=

    Fairness of Energy Distribution Mechanisms in Collective Self-Consumption Schemes , author=. 2025 , eprint=

    2025

  13. [13]

    2020 , url =

    Task 1 Country Report France , author =. 2020 , url =

    2020

  14. [14]

    2021 , howpublished =

    Article L315-2 - Code de l'énergie , author =. 2021 , howpublished =

    2021

  15. [15]

    Clés pour Agir , year =

  16. [16]

    A Dynamic Peer-to-Peer Electricity Market Model for a Community Microgrid With Price-Based Demand Response , year=

    Alfaverh, Fayiz and Denai, Mouloud and Sun, Yichuang , journal=. A Dynamic Peer-to-Peer Electricity Market Model for a Community Microgrid With Price-Based Demand Response , year=

  17. [17]

    Gamification-based framework for engagement of residential customers in energy applications , journal =

    Tarek AlSkaif and Ioannis Lampropoulos and Machteld. Gamification-based framework for engagement of residential customers in energy applications , journal =. 2018 , issn =. doi:https://doi.org/10.1016/j.erss.2018.04.043 , url =

    work page doi:10.1016/j.erss.2018.04.043 2018

  18. [18]

    Social norms and energy conservation , journal =

    Hunt Allcott , keywords =. Social norms and energy conservation , journal =. 2011 , note =. doi:https://doi.org/10.1016/j.jpubeco.2011.03.003 , url =

    work page doi:10.1016/j.jpubeco.2011.03.003 2011

  19. [19]

    Andor and Andreas Gerster and Jörg Peters and Christoph M

    Mark A. Andor and Andreas Gerster and Jörg Peters and Christoph M. Schmidt , keywords =. Social Norms and Energy Conservation Beyond the US , journal =. 2020 , issn =. doi:https://doi.org/10.1016/j.jeem.2020.102351 , url =

    work page doi:10.1016/j.jeem.2020.102351 2020

  20. [20]

    2018 , journal =

    Information provision and energy consumption: Evidence from a field experiment , author =. 2018 , journal =

    2018

  21. [21]

    and Gibescu, M

    van Beuzekom, I. and Gibescu, M. and Slootweg, J.G. , booktitle=. A review of multi-energy system planning and optimization tools for sustainable urban development , year=

  22. [22]

    Energies , VOLUME =

    Beza, Teketay Mulu and Huang, Yen-Chih and Kuo, Cheng-Chien , TITLE =. Energies , VOLUME =. 2020 , NUMBER =

    2020

  23. [23]

    Energy Management System for an Energy District With Demand Response Availability , year=

    Brusco, Giovanni and Burgio, Alessandro and Menniti, Daniele and Pinnarelli, Anna and Sorrentino, Nicola , journal=. Energy Management System for an Energy District With Demand Response Availability , year=

  24. [24]

    Energies , VOLUME =

    Barone, Giuseppe and Brusco, Giovanni and Menniti, Daniele and Pinnarelli, Anna and Polizzi, Gaetano and Sorrentino, Nicola and Vizza, Pasquale and Burgio, Alessandro , TITLE =. Energies , VOLUME =. 2020 , NUMBER =

    2020

  25. [25]

    and La Nauze, Andrea and Martin, Leslie A

    Byrne, David P. and La Nauze, Andrea and Martin, Leslie A. Tell me something I don't alreaky know: informedness and the impact of information programs. Revue of Economics and Statistics

  26. [26]

    and Bhattacharya, Kankar and Mosaddegh, Abolfazl and Solanki, Bharatkumar V

    López, Juan Miguel Gonzalez and Pouresmaeil, Edris and Cañizares, Claudio A. and Bhattacharya, Kankar and Mosaddegh, Abolfazl and Solanki, Bharatkumar V. , journal=. Smart Residential Load Simulator for Energy Management in Smart Grids , year=

  27. [27]

    Krueger , journal =

    David Card and Alan B. Krueger , journal =. Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania , urldate =

  28. [28]

    2021 , MONTH = "1", KEYWORDS =

    Charlier, Christophe and Guerassimoff, Gilles and Kirakozian, Ankin. 2021 , MONTH = "1", KEYWORDS =

    2021

  29. [29]

    Energies , VOLUME =

    Cristino, Talita Mariane and Neto, Antonio Faria and Wurtz, Frédéric and Delinchant, Benoit , TITLE =. Energies , VOLUME =. 2022 , NUMBER =

    2022

  30. [30]

    Electricity Self-consumption

    Commission de Régulation de l'énergie. Electricity Self-consumption. 2018

    2018

  31. [31]

    Annexe Communiqué de presse TURPE 7 (2025-02-06) - Focus sur l’évolution du placement des heures creuses

    Commission de Régulation de l'énergie. Annexe Communiqué de presse TURPE 7 (2025-02-06) - Focus sur l’évolution du placement des heures creuses. 2025

    2025

  32. [32]

    Effacement

    Commission de Régulation de l'énergie. Effacement. 2024

    2024

  33. [33]

    Framework For Energy Sharing

    Solar Power Europe. Framework For Energy Sharing. 2023

    2023

  34. [34]

    Nudging and boosting for equity? Towards a behavioural economics of energy justice , journal =

    Nives DellaValle and Siddharth Sareen , keywords =. Nudging and boosting for equity? Towards a behavioural economics of energy justice , journal =. 2020 , issn =. doi:https://doi.org/10.1016/j.erss.2020.101589 , url =

    work page doi:10.1016/j.erss.2020.101589 2020

  35. [35]

    Delmas and Miriam Fischlein and Omar I

    Magali A. Delmas and Miriam Fischlein and Omar I. Asensio , keywords =. Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012 , journal =. 2013 , issn =. doi:https://doi.org/10.1016/j.enpol.2013.05.109 , url =

    work page doi:10.1016/j.enpol.2013.05.109 1975

  36. [37]

    A typology of community-based energy citizenship: An analysis of the ownership structure and institutional logics of 164 energy communities in France

    Aurore Dudka and Nuria Moratal and Thomas Bauwens , keywords =. A typology of community-based energy citizenship: An analysis of the ownership structure and institutional logics of 164 energy communities in France. Energy Policy , volume =. 2023 , issn =. doi:https://doi.org/10.1016/j.enpol.2023.113588 , url =

    work page doi:10.1016/j.enpol.2023.113588 2023

  37. [38]

    preprint

    Aurore Dudka. preprint. 2024,

    2024

  38. [39]

    Répartition des opérations d’autoconsommation collective actives – maille Enedis

    Enedis. Répartition des opérations d’autoconsommation collective actives – maille Enedis

  39. [40]

    Residential Electricity Use Feedback: A Research Synthesis and Economic Framework. 2009

    2009

  40. [41]

    Collective Self-Consumption and Energy Communities: Trends and Challenges in the Transposition of the EU Framework

    Frieden, Dorian and Türk, Andreas and Neumann, Camilla and d'Herbemont, Stanislas and Roberts, Joshua. Collective Self-Consumption and Energy Communities: Trends and Challenges in the Transposition of the EU Framework. Working paper. 2020

    2020

  41. [42]

    Sustainability , VOLUME =

    Frieden, Dorian and Tuerk, Andreas and Antunes, Ana Rita and Athanasios, Vasilakis and Chronis, Alexandros-Georgios and d’Herbemont, Stanislas and Kirac, Mislav and Marouço, Rita and Neumann, Camilla and Pastor Catalayud, Esteban and Primo, Niccolò and Gubina, Andrej Ferdo , TITLE =. Sustainability , VOLUME =. 2021 , NUMBER =

    2021

  42. [43]

    Jack Kelly and William Knottenbelt , Journaltitle =. The. 2015 , Date =

    2015

  43. [44]

    Analysis and optimisation of collective self-consumption in residential buildings in Spain

    Antonio José. Analysis and optimisation of collective self-consumption in residential buildings in Spain. Energy and Buildings , volume =. 2023 , issn =. doi:https://doi.org/10.1016/j.enbuild.2023.112812 , url =

    work page doi:10.1016/j.enbuild.2023.112812 2023

  44. [45]

    Hall and Alastair R

    Lisa M.H. Hall and Alastair R. Buckley , keywords =. A review of energy systems models in the UK: Prevalent usage and categorisation , journal =. 2016 , issn =. doi:https://doi.org/10.1016/j.apenergy.2016.02.044 , url =

    work page doi:10.1016/j.apenergy.2016.02.044 2016

  45. [46]

    , journal=

    Hart, G.W. , journal=. Nonintrusive appliance load monitoring , year=

  46. [47]

    Energies , VOLUME =

    Heuninckx, Shary and Macharis, Cathy and te Boveldt, Geert and Coosemans, Thierry , TITLE =. Energies , VOLUME =. 2023 , NUMBER =

    2023

  47. [48]

    Demand and flexibility of residential appliances: An empirical analysis , year=

    Ji, Yuting and Rajagopal, Ram , booktitle=. Demand and flexibility of residential appliances: An empirical analysis , year=

  48. [49]

    and Ford, Rebecca

    Karlin, Beth and Zinger, Joanne F. and Ford, Rebecca. The Effects of Feedback on Energy Conservation: A Meta-Analysis. Psychological Bulletin. 2015

    2015

  49. [50]

    Intelligent energy management based on SCADA system in a real Microgrid for smart building applications , journal =

    Mostafa Kermani and Behin Adelmanesh and Erfan Shirdare and Catalina Alexandra Sima and Domenico Luca Carnì and Luigi Martirano , keywords =. Intelligent energy management based on SCADA system in a real Microgrid for smart building applications , journal =. 2021 , issn =. doi:https://doi.org/10.1016/j.renene.2021.03.008 , url =

    work page doi:10.1016/j.renene.2021.03.008 2021

  50. [51]

    Kobus and Elke A.M

    Charlotte B.A. Kobus and Elke A.M. Klaassen and Ruth Mugge and Jan P.L. Schoormans , keywords =. A real-life assessment on the effect of smart appliances for shifting households’ electricity demand , journal =. 2015 , issn =. doi:https://doi.org/10.1016/j.apenergy.2015.01.073 , url =

    work page doi:10.1016/j.apenergy.2015.01.073 2015

  51. [52]

    Lauinger and P

    D. Lauinger and P. Caliandro and J. A linear programming approach to the optimization of residential energy systems , journal =. 2016 , issn =. doi:https://doi.org/10.1016/j.est.2016.04.009 , url =

    work page doi:10.1016/j.est.2016.04.009 2016

  52. [53]

    Article L315 Code de l'énergie

    Légifrance. Article L315 Code de l'énergie

  53. [54]

    Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach , year=

    Liu, Nian and Yu, Xinghuo and Wang, Cheng and Wang, Jinjian , journal=. Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach , year=

  54. [55]

    Ministère de la Transition Énergétique

  55. [56]

    Optimization framework for distributed energy systems with integrated electrical grid constraints , journal =

    Boran Morvaj and Ralph Evins and Jan Carmeliet , keywords =. Optimization framework for distributed energy systems with integrated electrical grid constraints , journal =. 2016 , issn =. doi:https://doi.org/10.1016/j.apenergy.2016.03.090 , url =

    work page doi:10.1016/j.apenergy.2016.03.090 2016

  56. [57]

    Governments can nudge household solar energy adoption: Evidence from a field experiment in Switzerland , journal =

    Oliver Neumann and Audrey Gonin and Maurus Pfalzgraf and Anthony Patt , keywords =. Governments can nudge household solar energy adoption: Evidence from a field experiment in Switzerland , journal =. 2023 , issn =. doi:https://doi.org/10.1016/j.erss.2023.103293 , url =

    work page doi:10.1016/j.erss.2023.103293 2023

  57. [58]

    Energies , VOLUME =

    Zanvettor, Giovanni Gino and Casini, Marco and Giannitrapani, Antonio and Paoletti, Simone and Vicino, Antonio , TITLE =. Energies , VOLUME =. 2022 , NUMBER =

    2022

  58. [59]

    The effects of household automation and dynamic electricity pricing on consumers and suppliers , journal =

    Marija Miletić and Mirna Gržanić and Ivan Pavić and Hrvoje Pandžić and Tomislav Capuder , keywords =. The effects of household automation and dynamic electricity pricing on consumers and suppliers , journal =. 2022 , issn =. doi:https://doi.org/10.1016/j.segan.2022.100931 , url =

    work page doi:10.1016/j.segan.2022.100931 2022

  59. [60]

    and Yanine, Franco F

    Chamorro, Harold R. and Yanine, Franco F. and Peric, Vedram and Diaz-Casas, Margarita and Bressan, Michael and Guerrero, Josep M. and Sood, Vijay K. and Gonzalez-Longatt, Francisco , booktitle=. Smart Renewable Energy Communities - Existing and Future Prospects , year=

  60. [61]

    Rangasamy, Sankar and Prakash, S. Arun and Sakhare, Nitin Nandkumar and Kumar, U. Arun

    Multiple microgrids with electric vehicle charging in a hybrid GJO-PCGAN approach for energy management , author = "Rangasamy, Sankar and Prakash, S. Arun and Sakhare, Nitin Nandkumar and Kumar, U. Arun", journal = "Electrical Engineering", year = "2025", doi =

    2025

  61. [62]

    Estimating electricity distribution costs using historical data , journal =

    Noah Rauschkolb and Nathalie Limandibhratha and Vijay Modi and Ignacia Mercadal , abstract =. Estimating electricity distribution costs using historical data , journal =. 2021 , issn =. doi:https://doi.org/10.1016/j.jup.2021.101309 , url =

    work page doi:10.1016/j.jup.2021.101309 2021

  62. [63]

    User engagement in community energy schemes: A case study at the Trent Basin in Nottingham, UK , journal =

    Lucelia Rodrigues and Mark Gillott and Julie Waldron and Lewis Cameron and Renata Tubelo and Rob Shipman and Nicholas Ebbs and Charles Bradshaw-Smith , keywords =. User engagement in community energy schemes: A case study at the Trent Basin in Nottingham, UK , journal =. 2020 , issn =. doi:https://doi.org/10.1016/j.scs.2020.102187 , url =

    work page doi:10.1016/j.scs.2020.102187 2020

  63. [64]

    Towards flexible energy demand – Preferences for dynamic contracts, services and emissions reductions , journal =

    Enni Ruokamo and Maria Kopsakangas-Savolainen and Teemu Meriläinen and Rauli Svento , keywords =. Towards flexible energy demand – Preferences for dynamic contracts, services and emissions reductions , journal =. 2019 , issn =. doi:https://doi.org/10.1016/j.eneco.2019.104522 , url =

    work page doi:10.1016/j.eneco.2019.104522 2019

  64. [65]

    Energy Policy , volume =

    Enni Ruokamo and Teemu Meriläinen and Santtu Karhinen and Jouni Räihä and Päivi Suur-Uski and Leila Timonen and Rauli Svento , keywords =. Energy Policy , volume =. 2022 , issn =. doi:https://doi.org/10.1016/j.enpol.2021.112731 , url =

    work page doi:10.1016/j.enpol.2021.112731 2022

  65. [66]

    Energy self-consumers and renewable energy communities in Italy: New actors of the electric power systems

    Maria Luisa. Energy self-consumers and renewable energy communities in Italy: New actors of the electric power systems. Renewable and Sustainable Energy Reviews , volume =. 2021 , issn =. doi:https://doi.org/10.1016/j.rser.2021.111565 , url =

    work page doi:10.1016/j.rser.2021.111565 2021

  66. [67]

    Vigilant conservation: How energy insecure households navigate cumulative and administrative burdens , journal =

    Miranda Simes and Tasfia Rahman and Diana Hernández , keywords =. Vigilant conservation: How energy insecure households navigate cumulative and administrative burdens , journal =. 2023 , issn =. doi:https://doi.org/10.1016/j.erss.2023.103092 , url =

    work page doi:10.1016/j.erss.2023.103092 2023

  67. [68]

    Sovacool and Jonn Axsen and Steve Sorrell , keywords =

    Benjamin K. Sovacool and Jonn Axsen and Steve Sorrell , keywords =. Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design , journal =. 2018 , note =. doi:https://doi.org/10.1016/j.erss.2018.07.007 , url =

    work page doi:10.1016/j.erss.2018.07.007 2018

  68. [69]

    and Sunstein, Cass R

    Thaler, Richard H. and Sunstein, Cass R. Nudge: Improving Decisions about Health, Wealth, and Happiness. 2008

    2008

  69. [70]

    2022 , DOI =

    Twum-Duah, Nana Kofi and Amayri, Manar and Ploix, St. 2022 , DOI =

    2022

  70. [71]

    Global Greenhouse Gas Emissions Data

    United States Environmental Protection Agency. Global Greenhouse Gas Emissions Data

  71. [72]

    , journal=

    Keerthisinghe, Chanaka and Verbič, Gregor and Chapman, Archie C. , journal=. A Fast Technique for Smart Home Management: ADP With Temporal Difference Learning , year=

  72. [73]

    and Kang, Chongqing , journal=

    Wang, Yi and Zhang, Ning and Tan, Yushi and Hong, Tao and Kirschen, Daniel S. and Kang, Chongqing , journal=. Combining Probabilistic Load Forecasts , year=

  73. [74]

    Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach

    Weron, Rafa. Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach. 2006

    2006

  74. [75]

    Energy Forecasting: A Review and Outlook , year=

    Hong, Tao and Pinson, Pierre and Wang, Yi and Weron, Rafał and Yang, Dazhi and Zareipour, Hamidreza , journal=. Energy Forecasting: A Review and Outlook , year=

  75. [76]

    Frontiers in Big Data , author =

    Dongqi Wu and Xiangtian Zheng and Ali Menati and Lane Smith and Bainan Xia and Yixing Xu and Chanan Singh and Le Xie , abstract =. How much demand flexibility could have spared texas from the 2021 outage? , journal =. 2022 , issn =. doi:https://doi.org/10.1016/j.adapen.2022.100106 , url =

    work page doi:10.1016/j.adapen.2022.100106 2021

  76. [77]

    Comptes Rendus

    Fr\'ed\'eric Wurtz and Beno. Comptes Rendus. Physique , pages =. 2017 , doi =

    2017

  77. [78]

    Designing and Experimenting Nudge Signals to Act on the Energy Signature of Households and Optimizing Building Network Interaction

    Salman Shadid, Muhammad and Delinchant, Benoit and Wurtz, Frederic and Llerena, Daniel and Roussillon, Béatrice. Designing and Experimenting Nudge Signals to Act on the Energy Signature of Households and Optimizing Building Network Interaction. IBPSA France 2020, November 2020, Reims, France. 2020

    2020

  78. [79]

    and Singh, Arshpreet and Bésanger, Yvon and Wurtz, Frédéric , journal=

    Contreras-Ocaña, Jesus E. and Singh, Arshpreet and Bésanger, Yvon and Wurtz, Frédéric , journal=. Integrated Planning of a Solar/Storage Collective , year=

  79. [80]

    Demand response in the workplace: A field experiment , journal =

    Daniel Llerena and Beatrice Roussillon and Sabrina Teyssier and Adelaïde Fadhuile and Penelope Buckley and Benoit Delinchant and Jérôme Ferrari and Tiansi Laranjeira and Frédéric Wurtz , keywords =. Demand response in the workplace: A field experiment , journal =. 2023 , issn =. doi:https://doi.org/10.1016/j.jenvman.2023.117992 , url =

    work page doi:10.1016/j.jenvman.2023.117992 2023

  80. [81]

    Sequence-to-point learning with neural networks for non-intrusive load monitoring

    Chaoyun Zhang and Mingjun Zhong and Zongzuo Wang and Nigel Goddard and Charles Sutton. Sequence-to-point learning with neural networks for non-intrusive load monitoring. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. 2018

    2018

Showing first 80 references.