Work

Probabilistic Deep Learning for Energy Time Series Forecasting: A Comparative Study

Year: 2025

Type: conference-paper

Source: International Symposium on Digital Forensics and Security (ISDFS)

DOI: 10.1109/isdfs65363.2025.11011947

Authors: Ramakrishna Garine, Sunil Pradhan Sharma

Institutions: University of North Texas, Capital One (United States)

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W4411204681

FWCI:

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