2 results about "Chaotic search" patented technology

The invention discloses a heat supply network operation optimization method and system based on load prediction, and relates to the field of heat supply network operation optimization, and the method comprises the steps: collecting multi-source data of heat supply network operation, carrying out the load prediction, and generating a load prediction result; calculating mutual information and information entropy according to the load prediction result, and generating a dynamic feedback signal; constructing a causal relationship graph of the heat supply network based on a load prediction result, analyzing the influence of load change on system operation variables by using intervention calculation, and generating a causal intervention strategy; fusing the dynamic feedback signal with a causal intervention strategy, calculating a fusion weight according to the mutual information value and the intervention effect intensity, and generating fusion input according to the fusion weight; the fusion input is used as an initial state, Logistic mapping is adopted to carry out chaos search, and a multi-target optimization strategy is generated; and integrating the multi-objective optimization strategies through a reinforcement learning algorithm, and outputting a heat supply network operation control scheme. The heat supply network energy efficiency and the system stability are improved, and self-adaptive optimal configuration of scheduling parameters is achieved.

The application provides a multi-element two-stage adaptive accumulation prediction method for a regional integrated energy system; firstly, a new preprocessing module based on ensemble learning is provided to preprocess original input data, provide a reliable data basis for TAPM, and determine key input variables of multi-energy load prediction; then, the training results of four predictors are adaptively integrated in the first stage of TAPM to enhance the generalization ability of the model, wherein a new collaborative atomic chaotic search algorithm is provided to train the predictor hyperparameters and intermediate data set of TAPM, so that the adaptive accumulation of the predictor in TAPM is realized; finally, peak load prediction correction in the power consumption peak period is carried out in the second stage of TAPM; the energy cascade utilization efficiency is improved, the regional integrated energy system is widely concerned, the multi-energy load prediction is very crucial for the planning of the regional integrated energy system, and effective decisions can be made by managers for the carbon peak target.