Work

Interpretable Machine Learning for Time Series Forecasting: The Case of Natural Gas Consumption

Year: 2025

Type: dissertation

Source: Electronic Theses and Dissertations Repository (University of Pisa)

Author: D'APOLI, CLARA

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: W7067059531

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