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linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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3721
Cooling power of SREH in Case Study-III.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3722
Hourly power generation of solar and wind.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3723
Cooling power of SREH in Case Study-IV.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3724
Technical features of PHEV battery.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3725
Electrical power of SREH in Case Study-III.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3726
Heating power of SREH in Case Study-III.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3727
Conceptual framework of REH under study.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3728
Energy hub architecture.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3729
Electricity and gas prices.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3730
Technical features of central devices.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3731
Results for Case Study-I.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3732
Technical features of wind turbine.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3733
Heating power of SREH in Case Study-IV.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3734
Electrical power of SREH in Case Study-IV.
Published 2025“…This work proposed a stochastic model for REH using mixed integer linear programming (MILP) to optimally handle the associated uncertainties of RES and PEHVs, which was then solved using GAMS software. …”
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3735
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3736
Participant interview topics.
Published 2025“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
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3737
The participants’ baseline characteristics.
Published 2025“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
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3738
Alignment of the Taxane binding pocket sequences.
Published 2025“…The results were analyzed using a consensus method to increase their reliability. We found that the amoeba’s mitotic tubulins show a significant number of changes that are expected to decrease their affinity for tubulin-targeting compounds. …”
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3739
Rank of mutation fitness.
Published 2025“…Retrospective validation demonstrated that CoVPF achieved 20.7% higher accuracy compared to previous study. Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. …”
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3740