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Short-Term Load Forecasting Based on Pattern-Guided Convolutional Neural Networks Under Different Electricity Consumption Profiles

Year: 2024

Type: conference-paper

Source: IEEE PES Asia-Pacific Power and Energy Engineering Conference

DOI: 10.1109/appeec61255.2024.10922580

Authors: Ju Moxin, Tang Weining, Liu Lijun

Institutions: State Grid Corporation of China (China), State Grid Jilin Electric Power (China)

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408795211

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