分布式光伏出力预测基准曲线

通过对某地区屋顶光伏发电系统进行全面、细致的每日监测，收集大量实际发电数据，并将这些原始数据进行归一化处理，去除业务属性，同时折合成每千瓦装机出力，形成一条标准化、可比性强、具有代表性的基准曲线。这条基准曲线不仅可以反映该地区光伏发电的日变化规律和特性，还作为光伏发电出力预测的基线标准，为行业用户提供预测参考依据。用户可以利用这条基准曲线，结合当地的气象条件、光照强度等因素，对每天的光伏发电量进行预测。

Through comprehensive and meticulous daily monitoring of rooftop photovoltaic (PV) power generation systems in a specific region, a large amount of actual power generation data is collected. These raw data are then normalized, with business-related attributes removed and converted to per-kilowatt installed capacity output, thus forming a standardized, highly comparable and representative benchmark curve. This benchmark curve not only reflects the daily variation patterns and characteristics of photovoltaic power generation in the region, but also serves as the baseline standard for photovoltaic power output prediction, providing reference basis for industry users. Users can utilize this benchmark curve, combined with local meteorological conditions, light intensity and other relevant factors, to forecast the daily photovoltaic power generation volume.

搜集汇总

背景与挑战

背景概述

该数据集提供了一条基于实际监测数据的标准化光伏出力基准曲线，通过归一化处理折合为每千瓦装机出力，具有强可比性和代表性。它反映了光伏发电的日变化规律，可作为预测基线，帮助用户结合当地气象和光照条件进行每日发电量预测，为行业提供可靠的参考依据。