Application Possibilities of Artificial Intelligence in a Renewable Energy Platform

被引:1
|
作者
Kern, Daria [1 ,2 ]
Ensinger, Andreas [2 ,3 ]
Hammer, Carmen [1 ]
Neufeld, Christina [1 ]
Lecon, Carsten [1 ]
Nagl, Anna [1 ]
Bozem, Karlheinz [4 ]
Harrison, David K. [2 ]
Wood, Bruce M. [2 ]
机构
[1] Aalen Univ, Aalen, Germany
[2] Glasgow Caledonian Univ, Glasgow, Lanark, Scotland
[3] Ueberlandzent Woerth I Altheim Netz AG, Essenbach, Germany
[4] Bozem Consulting Associates, Munich, Germany
来源
关键词
Artificial intelligence; Business model development; Renewable energy; Platform innovation; Smart services; COVID-19;
D O I
10.1007/978-3-030-97042-0_4
中图分类号
F [经济];
学科分类号
02 ;
摘要
Digitization and the trend to work from home are significantly accelerated by the COVID-19 pandemic. The relocation of the workplace to the home office is accompanied by increased electricity consumption in private households. Furthermore, with the threat of climate change, the transition to renewable energies is becoming increasingly important. This includes the need for new and innovative business models in the energy sector. Artificial intelligence is one of the key technologies for innovation. We investigate how and where artificial intelligence can be incorporated into the business model of a German research project. The business model aims to market renewable energy through a platform where private electricity consumers and producers are part of the user base. With the help of AI, future supply and demand can be forecasted more accurately, which is ecologically and economically beneficial. Chatbot assistance and further applications are presented as well. The resulting added value can benefit both the platform operator as well as the platform users.
引用
收藏
页码:35 / 43
页数:9
相关论文
共 50 条
  • [21] THE POSSIBILITIES OF THE ARTIFICIAL-INTELLIGENCE
    PIOTROVSKIY, RG
    VESTNIK AKADEMII NAUK SSSR, 1991, (03) : 140 - 142
  • [22] Application of artificial intelligence techniques for modeling, optimizing, and controlling desalination systems powered by renewable energy resources
    Sayed, Enas Taha
    Olabi, A. G.
    Elsaid, Khaled
    Al Radi, Muaz
    Semeraro, Concetta
    Doranehgard, Mohammad Hossein
    Eltayeb, Mohamed Elrayah
    Abdelkareem, Mohammad Ali
    JOURNAL OF CLEANER PRODUCTION, 2023, 413
  • [23] Application of artificial intelligence to urban wind energy
    Higgins, Stephanie
    Stathopoulos, Ted
    BUILDING AND ENVIRONMENT, 2021, 197
  • [24] The Application of Artificial Intelligence Technology in Energy Internet
    Liu, Linping
    Chen, Siyu
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [25] The Application of Artificial Intelligence Technology in Smart Energy
    Jiang, Xiaotao
    Zhao, Ming Xin
    Liu, Wei
    Xu, Ruo Bing
    2020 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND BIOENGINEERING (ICEEB 2020), 2020, 185
  • [26] POSSIBILITIES FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS IN THE EDUCATION OF STUDENTS OF PEDAGOGICAL SPECIALTIES
    Stefanova, Petya
    Smrikarov, Angel
    STRATEGIES FOR POLICY IN SCIENCE AND EDUCATION-STRATEGII NA OBRAZOVATELNATA I NAUCHNATA POLITIKA, 2024, 32 (05): : 263 - 270
  • [27] Research and application of artificial intelligence service platform for the power field
    Liu P.
    Jiang W.
    Wang X.
    Li H.
    Sun H.
    Global Energy Interconnection, 2020, 3 (02) : 175 - 185
  • [28] Research and application of artificial intelligence service platform for the power field
    Peng Liu
    Wei Jiang
    Xiaohui Wang
    Hongmin Li
    Hongjian Sun
    GlobalEnergyInterconnection, 2020, 3 (02) : 175 - 185
  • [29] Desalination processes supported by renewable energy sources managed by artificial intelligence
    Kaczmarczyk, Michal
    Tomaszewska, Barbara
    DESALINATION AND WATER TREATMENT, 2023, 316 : 627 - 635
  • [30] Exploring the Role of Robots and Artificial Intelligence in Advancing Renewable Energy Consumption
    Badareu, Gabriela
    Doran, Marius Dalian
    Firu, Mihai Alexandru
    Croitoru, Ionut Marius
    Doran, Nicoleta Mihaela
    ENERGIES, 2024, 17 (17)