Optimal planning of solar and wind energy systems in electricity price‐driven distribution systems considering correlated uncertain variables

Abstract The paper proposes a new stochastic multiobjective MAKE UP REMOVERS technoeconomic model for integrating photovoltaic (PV) and wind energy resources in electricity price (EP)?driven distribution systems.The primary goal of this paper is to determine the optimal location and capacity for renewable energy?based distributed generation, specif

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Gene Selection in Binary Classification Problems Within Functional Genomics Experiments via Robust Fisher Score

This study proposes a supervised feature selection technique for classification in high dimensional binary class problems by adding robustness in the conventional Fisher Score.The proposed method utilizes the more robust measure of location i.e.the Median and measure of dispersion known as Rousseeuw and Croux statistic ( $Q_{n}$ ).Initially minimum

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