References

Economic benefits of demand response in the Finnish pulp and paper industry

10.1016/j.egyr.2025.09.039 · 2025 · External reference

A two-stage robust optimization model for a virtual power plant considering responsiveness-based electric vehicle aggregation

10.1016/j.jclepro.2023.136690 · 2023 · External reference

Evolutionary smart contracts for virtual power plant trading: integrating prospect theory and multi-stage negotiation in cross-regional energy markets

10.1016/j.ijepes.2025.111453 · 2025 · External reference

Multi-time scale adaptive coordination of distributed generation and price-based demand response in park microgrids

10.1016/j.enconman.2026.121567 · External reference

Bilevel energy management framework for residential community microgrids: incorporating multiscale personalized occupant satisfaction

10.1016/j.segan.2026.102275 · External reference

Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: a prospect theory approach

10.1016/j.segan.2025.101679 · 2025 · External reference

Estimating residential flexibility from smart meter data: a bilevel framework for demand response aggregation

10.1016/j.enconman.2026.121481 · External reference

A Bi-Level peak regulation optimization model for power systems considering ramping capability and demand response

10.3390/en17194892 · 2024 · External reference

Optimal bidding strategy for virtual power plant in multiple markets considering integrated demand response and energy storage

10.1016/j.est.2025.116706 · External reference

10.1016/j.enbuild.2025.116434

10.1016/j.enbuild.2025.116434 · 2025 · External reference

Multiple-time-scale energy management strategy for virtual power plants considering dynamic weights and a data-model driven prediction model

10.1016/j.ijepes.2025.111229 · 2025 · External reference

An index of loss aversion

10.1016/j.jet.2004.03.009 · 2005 · External reference

Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response

10.1016/j.energy.2017.12.044 · 2018 · External reference

Multi-time scale game dispatching strategy for microgrid cluster with shared energy storage considering demand response uncertainty

10.1016/j.energy.2025.136568 · External reference

Psychological insights for incentive-based demand response incorporating battery energy storage systems: a two-loop stackelberg game approach

10.1016/j.energy.2021.122192 · External reference

From peak shedding to low-carbon transitions: customer psychological factors in demand response

10.1016/j.energy.2021.121667 · External reference

Analysis and accurate prediction of user’s response behavior in incentive-based demand response

10.1109/access.2018.2889500 · External reference

Bi-level fuzzy stochastic expectation modelling and optimization for energy storage systems planning in virtual power plants

10.1063/1.5040798 · External reference

Dynamic economic dispatch with wind power penetration based on non-parametric kernel density estimation

10.1080/15325008.2020.1758847 · 2020 · External reference

Optimal operation modes of virtual power plants based on typical scenarios considering output evaluation criteria

10.3390/en11102634 · External reference

PowerMistral: a data-efficient wind power forecasting framework leveraging pre-trained large language models

10.1016/j.apenergy.2026.127625 · 2026 · External reference

Day-ahead and intraday coordinated optimal scheduling of integrated energy system considering uncertainties in source and load

10.13335/j.1000-3673.pst.2022.2080 · 2023 · External reference

Two-stage interval scheduling of virtual power plant in day-ahead and real-time markets considering compressed air energy storage wind turbine

10.1016/j.est.2021.103599 · 2022 · External reference

Data-driven energy management of virtual power plants: a review

10.1016/j.adapen.2024.100170 · 2024 · External reference

DynaG algorithm-based optimal power flow design for hybrid wind–solar–storage power systems considering demand response

10.3390/en18174576 · 2025 · External reference

Dynamic optimal power flow with cross entropy covariance matrix adaption evolutionary strategy for systems with electric vehicles and renewable generators

10.1002/er.6571 · 2021 · External reference

Optimal reconciliation of hierarchical wind power forecasts of correlated wind farms

10.1016/j.segan.2023.101091 · 2023 · External reference

Behavioral aspects of regulation: a discussion on switching and demand response in Turkish electricity market

10.1016/j.enpol.2016.08.005 · 2016 · External reference

Distributionally robust optimization of virtual power plant bidding strategies considering discrete scenario-based uncertainties in day-ahead market prices and wind powers

10.1016/j.epsr.2025.111977 · External reference

Generating short‐term probabilistic wind power scenarios via nonparametric forecast error density estimators

10.1002/we.2129 · 2017 · External reference

Risk averse optimal operation of a virtual power plant using two stage stochastic programming

10.1016/j.energy.2014.06.110 · 2014 · External reference

Bridging individual and collective action: advancing energy community participation through demand response tools

10.1016/j.egyr.2026.109344 · 2026 · External reference

Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games

10.1016/j.energy.2025.135731 · 2025 · External reference

Distributed robust optimization scheduling in multi-microgrids collaboration considering the participation of electric vehicles

10.3389/fenrg.2026.1732386 · 2026 · External reference

Endowment effects, expectations, and trading behavior in carbon cap and trade

10.1016/j.eneco.2024.107927 · 2024 · External reference

An improved deep reinforcement learning method for dispatch optimization strategy of modern power systems

10.3390/e25030546 · 2023 · External reference

Day-ahead versus intra-day scheduling of microgrids dominated by charging and swapping stations: a stackelberg game and adaptive rolling forecast optimisation based approach

10.1016/j.seta.2025.104267 · External reference

A scheduling optimization model for a gas-electricity interconnected virtual power plant considering green certificates-carbon joint trading and source-load uncertainties

10.1016/j.energy.2025.134470 · External reference

Capacity optimization configuration of hybrid energy storage systems for wind farms based on improved k-means and two-stage decomposition

10.3390/en18040795 · External reference

A review of carbon emissions accounting and prediction on the power grid

10.1007/s00202-024-02924-5 · External reference

A De-aggregation strategy based optimal co-scheduling of heterogeneous flexible resources in virtual power plant

10.1016/j.apenergy.2025.125404 · 2025 · External reference

Optimizing interaction in renewable-vehicle-microgrid systems: balancing battery health, user satisfaction, and participation

10.1016/j.renene.2025.122823 · 2025 · External reference