CAJ | 학술논문

介绍了马尔科夫理论的发展进程。详细阐述了马尔科夫链算法的相关概念、原理和数学模型，并对基于马尔科夫状态转换的自回归模型进行了描述。说明算法在波动性预测研究中的应用现状，并着重体现了对电力系统状态预测的重要意义。充分考虑马尔科夫链的特征，对当前马尔科夫理论应用于新能源功率预测研究的未来发展趋势进行了展望。
개소료마이과부이론적발전진정。상세천술료마이과부련산법적상관개념、원리화수학모형，병대기우마이과부상태전환적자회귀모형진행료묘술。설명산법재파동성예측연구중적응용현상，병착중체현료대전력계통상태예측적중요의의。충분고필마이과부련적특정，대당전마이과부이론응용우신능원공솔예측연구적미래발전추세진행료전망。
The development of the theory of markov process is introduced. The concept, principle and mathematical model of markov chain is in detail elaborated. And the autoregressive model based on markov state transitions are described. Algorithm is explained in the application status of the volatility prediction research. And importance for power system state prediction is mainly reflected. Fully considering the characteristics of the markov chain, this paper discusses The trend of future development of the current markov theory applied to the new energy power prediction research.