Reconstructing hourly residential electrical load profiles for Renewable Energy Communities using non-intrusive machine learning techniques

Reconstructing hourly residential electrical load profiles for Renewable Energy Communities using non-intrusive machine learning techniques

The successful implementation of Renewable Energy Communities (RECs) involves maximizing the self-consumption within a community, particularly in regulatory contexts in which shared energy is incentivized. In many countries, the absence of a metering infrastructure that provides data at an hourly or...

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Bibliographic Details
Main Authors: Lorenzo Giannuzzo, Francesco Demetrio Minuto, Daniele Salvatore Schiera, Andrea Lanzini
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Energy and AI
Subjects:
Renewable Energy Community
Load profiling
Non-intrusive machine learning
Data-driven models
Data analytics
Shared energy estimation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823001015

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http://www.sciencedirect.com/science/article/pii/S2666546823001015

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