Work

Research on the application of deep learning technology in power load forecasting and scheduling optimization

Year: 2025

Type: conference-paper

Source: International Conference on Physics, Photonics, and Optical Engineering (ICPPOE)

DOI: 10.1117/12.3059641

Author: Kele Qian

Institution: Nanjing Normal University

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: W4408225679

FWCI:

Cites: 8

Cited by:

Related to: 10