论文标题
来自巴西东北部的光伏生产的数据集成和预测模型
Data integration and prediction models of photovoltaic production from Brazilian northeastern
论文作者
论文摘要
社会上所有生产分支机构都需要估计才能很好地控制其费用。在能源业务中，电力公司使用此信息来控制电网中的电源。为了更好地对光伏系统的能源生产估计，有必要将倍数加入地理空间和气象变量。这项工作提出了创建卫星数据集成平台，并具有生产估算模型，基站测量和实际生产能力。这项工作提出了统计，概率和人工智能模型，这些模型产生了空间和时间生产估算，可以提高生产增长，并促进对新企业的监测和监督。
All productive branches of society need an estimate to be able to control their expenses well. In the energy business, electric utilities use this information to control the power flow in the grid. For better energy production estimation of photovoltaic systems, it is necessary to join multiples geospatial and meteorological variables. This work proposes the creation of a satellite data integration platform, with production estimation models, base stations measurement and actual production capacity. This work presents statistical, probabilistic and artificial intelligence models that generate spatial and temporal production estimates that could improve production gains as well as facilitate the monitoring and supervision of new enterprises are presented.
