Artificial Intelligence Assisted Smart Photovoltaics

Agnieszka Rządkowska
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引用次数: 1

Abstract

The paper discusses research efforts in combining recent progress in Artificial Intelligence with automated management of solar energy generated in grid-connected photovoltaic (PV) systems along with their operation- and-maintenance (O&M) and their smart on-grid integration control. The outlined research aligns with the strategy of the European Union joining Digital and Green agendas as two major pillars for the COVID-19 economic recovery in the EU and is a part of the EU funded standardization action under the H2020 StandICT programme coordinated by the author and hosted by the Smart Energy Standards Group of the European Information Technologies Certification Institute (EITCI SESG) in cooperation with the European Solar Network. It also contributes to one of the four primary objectives of the European Green Deal, i.e. to achieve a fully integrated, interconnected and digitalized EU energy market by increasing research oriented towards technical reference standardization aimed at consolidation of the expert community and the technology uptake. © 2021. The Authors. Published by International Solar Energy Society Selection and/or peer review under responsibility of Scientific Committee.
人工智能辅助智能光伏
本文讨论了将人工智能的最新进展与并网光伏(PV)系统的太阳能自动管理及其运维和智能并网集成控制相结合的研究工作。概述的研究与欧盟将数字和绿色议程作为欧盟2019冠状病毒病经济复苏的两大支柱的战略相一致,是欧盟资助的H2020标准ict计划下的标准化行动的一部分,该计划由作者协调,由欧洲信息技术认证研究所(EITCI SESG)的智能能源标准小组与欧洲太阳能网络合作主办。它还有助于实现《欧洲绿色协议》的四个主要目标之一,即通过增加面向技术参考标准化的研究,实现一个完全集成、互联和数字化的欧盟能源市场,旨在巩固专家社区和技术吸收。©2021。作者。由国际太阳能学会评选和/或科学委员会负责的同行评审发表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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