Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search)
linear decrease » linear increase (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search)
linear decrease » linear increase (Expand Search)
-
1101
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. …”
-
1102
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. …”
-
1103
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. …”
-
1104
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. …”
-
1105
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. …”
-
1106
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. …”
-
1107
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. …”
-
1108
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. …”
-
1109
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. …”
-
1110
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. …”
-
1111
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. …”
-
1112
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. …”
-
1113
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. …”
-
1114
Participant interview topics.
Published 2025“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
-
1115
The participants’ baseline characteristics.
Published 2025“…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
-
1116
-
1117
Descriptive statistics of driver characteristics.
Published 2025“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”
-
1118
Experimental scenario design.
Published 2025“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”
-
1119
Fixed effects of driving behavior stability.
Published 2025“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”
-
1120
Factors influencing cognitive response.
Published 2025“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”