Generative Energy Forecast ( Thesis Supplementary Documents)
Year: 2025
Type: dissertation
Abstract: This repository contains supplementary materials associated with the doctoral thesis titled "Generative Energy Forecast: A Hybrid Forecasting Model Combining Statistical and Generative AI for Short-term Energy Demand". The files provided include detailed forecast outputs, residual analysis tables, cross-validation results, and other supporting data generated by the hybrid model. In addition, the repository presents:– the complete set of expert responses to the evaluation questionnaire,– the collection of core articles included in the Scoping Review, and– the full source code of the proposed hybrid model.
Author: Fontoura, Leonardo
Institution: Universidade Federal Fluminense
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893161219
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