Litcius/Paper detail

Enabling artificial intelligence‐based scenario application in new type power systems

Shixiong Fan, Jianbo Guo, Shicong Ma, Guozheng Wang, Dongqi Li, Zening Zhao

2024Energy internet.13 citationsDOIOpen Access PDF

Abstract

Abstract At present, artificial intelligence (AI) technology, as a disruptive and frontier technology, is changing people's production and lifestyle with the cross combination of other scientific fields. Under the background of Green and low‐carbon transition in energy, the construction of new type power systems (NTPS) is the future direction of the transformation and development of the power industry. AI is an important supporting technology for the digital transformation of the power industry, which can accelerate the construction of NTPS and new energy systems. This article provides the author's viewpoints on application of AI technologies in NTPS, mainly involving the development of electric power AI and the main problems it currently faced. The discussion on the bottlenecks of AI application will be focused on data and models. Some future research directions are also presented.

Topics & Concepts

Computer scienceArtificial intelligenceArtificial neural networkEnergy Load and Power ForecastingReservoir Engineering and Simulation MethodsComputational Physics and Python Applications