机译:使用基于运营微积分的PDE模型的PV电力Intra-Intrane预测
VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Comp Sci 17 Listopadu 15-2172 Ostrava Czech Republic;
power engineering computing; partial differential equations; photovoltaic power systems; polynomials; weather forecasting; fuzzy neural nets; statistical analysis; solar radiation; solar power; PV power intra-day predictions; PDE models; polynomial networks; operational calculus; precise daily forecasts; photo-voltaic power production; electrical grid; specific solar radiation components; numerical weather prediction systems; specific plant situation; intra-day models; latest data observations; power measurements; differential polynomial neural network; D-PNN; novel neuro-computing technique; brain pulse signal processing; general partial differential equation; local atmospheric dynamics; applicable sum PDE components; composite models; specific sub-PDE;
机译:基于可操作演算的多项式网络扩展PDE和模型的光伏电力日预测
机译:基于操作微积分的一般微分方程多项式网络替换的多网站后处理
机译:一种深入学习模型,用于使用PV发电厂附近使用基于卫星估计的太阳辐照度的日期预测
机译:使用与操作微积分变换相结合的多项式网络的SUM PDE模型的风力 - 日期统计预测
机译:用于金融数据和降雨数据模拟和预测的多项式高阶神经网络组模型
机译:使用分子建模方法基于分子指纹的虚拟筛选方案和基于结构的药效团开发相结合的研究PDE5 / PDE6和PDE5 / PDE11选择性强效他达拉非类PDE5抑制剂
机译:基于短期多变量历史数据集的简单有效的RCC-LSTM模型使用简单且有效的RCC-LSTM模型的非常短期功率预测