Showing 341 - 360 results of 9,139 for search '"demand"', query time: 0.09s Refine Results
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    Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response by Yuanxiang Luo, Haixin Hao, Lidong Fan

    Published 2024-12-01
    “…Abstract To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. …”
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  5. 345

    Prediction Research of Water Demand Probability Interval in Liuzhou City Based on BP Neural Network by ZHANG Zhibo

    Published 2021-01-01
    “…Water demand prediction is of great importance for regional water resources planning.In this paper,BP neural network is primarily applied to predict the water demand of Liuzhou in 2020 and 2025,and then 100 groups of forecast results are selected for statistically frequency distribution analysis in the case of the relative error of prediction results being less than 2%.The results show that the prediction results of Liuzhou obey normal distribution in 2020 and mildly positively skewed distribution in 2025.Moreover,combining the prediction results of Liuzhou in 2025 which are converted to normal distribution by SPSS,and the interval estimation of normal distribution,the prediction interval of Liuzhou water demand,i.e.2.147 8~2.162 2 billion m<sup>3</sup> in 2020 and 2.181 3~2.202 3 billion m<sup>3</sup> in 2025 is obtained under the condition of 95% confidence level.The research has certain theoretical and instructional significance for Liuzhou water resources planning in the future.…”
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    Projected Impacts of Bioenergy-Demand-Induced Land Use and Cover Changes on Regional Climate in Central Europe by Fang Yin, Yihui Xiong, Li Jiang, Zhiguo Pang

    Published 2013-01-01
    “…With Central Europe as the study area, this study explored the impacts of land use/land cover change (LUCC) on climate under the influence of demand of bioenergy production for land resources. …”
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    Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect by Liying Li, Xinyu Hou, Lixia Niu

    Published 2023-01-01
    “…Based on the uncertain market demand, this paper studies the sharing strategy of each main body of the closed-loop supply chain for demand prediction information and introduces the variable of advertising effect into the model. …”
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    Optimal design and operation of a wind farm/battery energy storage considering demand side management by Siyu Tao, Chaohai Zhang, Andrés E. Feijóo‐Lorenzo, Victor Kim

    Published 2024-12-01
    “…Abstract Balancing electricity demand and sustainable energy generation like wind energy presents challenges for the smart grid. …”
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    Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective by Xiaoyun Cheng, Kun Huang, Lei Qu, Tianbao Zhang, Li Li

    Published 2020-01-01
    “…Investigating this travel demand change is a challenging task because it is greatly influenced by features of the local built environment. …”
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    Solar parking lot capacity: an abundant dual-use alternative to meet demand for the renewable energy transition by Scott Markwith

    Published 2025-01-01
    “…Premium efficiency canopy designs can meet ∼100% of demand in some large car dependent low to medium density municipalities. …”
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    Tesis doctoral: Smart Tourism Destinations: A Demand-based Approach for Improving Local Tourism Management by Francisco Femenia Serra

    Published 2020-06-01
    “…Smart Tourism Destinations: A Demand-based Approach for Improving Local Tourism Management. …”
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