Short-term power load prediction method and device
The invention provides a short-term power load prediction method and device, and belongs to the field of load prediction. The method comprises the following steps: acquiring first historical load data before a to-be-predicted time period in a target area; inputting the first historical load data int...
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creator | HU SHIYAO XIA JING MA GUOZHEN LI YANMEI ZHANG ZEYA WANG YUNJIA PANG NING LIU XUEFEI SHAO HUA REN HENGJUN |
description | The invention provides a short-term power load prediction method and device, and belongs to the field of load prediction. The method comprises the following steps: acquiring first historical load data before a to-be-predicted time period in a target area; inputting the first historical load data into a preset short-term power load prediction model to obtain load prediction data of a to-be-predicted time period in the target area output by the short-term power load prediction model; wherein the short-term power load prediction model is obtained by training a long and short-term memory model based on second historical load data before different prediction time periods in the target area and load prediction data of corresponding prediction time periods in the target area, and hyper-parameters in the long and short-term memory model are determined according to an improved white whale optimization algorithm. The improved whale optimization algorithm is an improved whale optimization algorithm based on a smoothing |
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The method comprises the following steps: acquiring first historical load data before a to-be-predicted time period in a target area; inputting the first historical load data into a preset short-term power load prediction model to obtain load prediction data of a to-be-predicted time period in the target area output by the short-term power load prediction model; wherein the short-term power load prediction model is obtained by training a long and short-term memory model based on second historical load data before different prediction time periods in the target area and load prediction data of corresponding prediction time periods in the target area, and hyper-parameters in the long and short-term memory model are determined according to an improved white whale optimization algorithm. The improved whale optimization algorithm is an improved whale optimization algorithm based on a smoothing</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY |
title | Short-term power load prediction method and device |
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