Showing 2,081 - 2,100 results of 7,331 for search 'significantly ((((we decrease) OR (larger decrease))) OR (linear decrease))', query time: 0.45s Refine Results
  1. 2081

    Proposed model of energy management for SREH. by Nouman Qamar (21511939)

    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. …”
  2. 2082

    Technical features of PV module. by Nouman Qamar (21511939)

    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. …”
  3. 2083

    Cooling power of SREH in Case Study-III. by Nouman Qamar (21511939)

    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. …”
  4. 2084

    Hourly power generation of solar and wind. by Nouman Qamar (21511939)

    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. …”
  5. 2085

    Cooling power of SREH in Case Study-IV. by Nouman Qamar (21511939)

    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. …”
  6. 2086

    Technical features of PHEV battery. by Nouman Qamar (21511939)

    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. …”
  7. 2087

    Electrical power of SREH in Case Study-III. by Nouman Qamar (21511939)

    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. …”
  8. 2088

    Heating power of SREH in Case Study-III. by Nouman Qamar (21511939)

    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. …”
  9. 2089

    Conceptual framework of REH under study. by Nouman Qamar (21511939)

    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. …”
  10. 2090

    Energy hub architecture. by Nouman Qamar (21511939)

    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. …”
  11. 2091

    Electricity and gas prices. by Nouman Qamar (21511939)

    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. …”
  12. 2092

    Technical features of central devices. by Nouman Qamar (21511939)

    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. …”
  13. 2093

    Results for Case Study-I. by Nouman Qamar (21511939)

    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. …”
  14. 2094

    Technical features of wind turbine. by Nouman Qamar (21511939)

    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. …”
  15. 2095

    Heating power of SREH in Case Study-IV. by Nouman Qamar (21511939)

    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. …”
  16. 2096

    Electrical power of SREH in Case Study-IV. by Nouman Qamar (21511939)

    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. …”
  17. 2097

    Participant interview topics. by Lex D. de Jong (22138778)

    Published 2025
    “…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
  18. 2098

    The participants’ baseline characteristics. by Lex D. de Jong (22138778)

    Published 2025
    “…Outcomes were evaluated with a multilevel linear regression analysis at baseline, 2 weeks, 3 months and 6 months. …”
  19. 2099

    Alignment of the Taxane binding pocket sequences. by Jacopo Zattoni (21702634)

    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. …”
  20. 2100

    Rank of mutation fitness. by Zhong-yi Lei (22552944)

    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. …”