AI in Power Systems and Energy Markets INTRODUCTION

被引：19
作者：
Ramos, Carlos [1 ]
Liu, Chen-Ching [2 ]
机构：
[1] Polytech Porto, R&D, Oporto, Portugal
[2] Univ Coll Dublin, Coll Engn Math & Phys Sci, Dublin, Ireland
来源：
IEEE INTELLIGENT SYSTEMS | 2011年 / 26卷 / 02期
关键词：
ENVIRONMENTS; AGENTS;
D O I：
10.1109/MIS.2011.26
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems' abilities to withstand uncertain events, such as weather-related outages. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. Power system experts are fully aware that there is a risk of degradation with increasingly complex power systems. Intelligent systems are natural decision support tools for planning, operation, maintenance, market monitoring, and risk management. This new generation of technologies must combine the technical operation of the power grid with the trading activities of electricity markets. Neural networks have been extensively used for forecasting tasks.
引用
收藏
页码：5 / 8
页数：4
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