Application of deep learning techniques to minimize the cost of operation of a hybrid solar-biomass system in a multi-family building-Reference-Cited by-同舟云学术

Application of deep learning techniques to minimize the cost of operation of a hybrid solar-biomass system in a multi-family building

Published:2023-07 Issue: Volume:288 Page:117152
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Zsembinszki Gabriel,Fernández Cèsar^ORCID,Borri Emiliano,Cabeza Luisa F.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference33 articles.

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5. V. Masson-Delmotte; P. Zhai; H.-O. Pörtner; D. Roberts; J. Skea; P.R. Shukla; A. Pirani; W. Moufouma-Okia; C. Péan; R. Pidcock; et al. IPCC, 2018: Summary for Policymakers. In: Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global.

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