ItemConference Paper

An Improved Deep Learning Framework for Energy Management in Low-Energy Building Integrated Photovoltaics (LE-BIPV)

Title
An Improved Deep Learning Framework for Energy Management in Low-Energy Building Integrated Photovoltaics (LE-BIPV)
Creator
Logeshwaran, J.; Yadav, Satya Prakash; Altrjman, Chadi; Al-Turjman, Fadi
Description
The possibility of incorporating photovoltaics (PV) as part of building design has opened a new approach to energy generation from sustainable resources. An effective method to facilitate the good operation of these systems would be efficient energy-level management. The existing Energy Management of LE-BIPV employs a conventional control strategy, which is inconvenient for operation and fails to properly deal with nonlinearity in the PV system. The proposed model aims to provide a new deep-learning framework for the energy management of LE-BIPV. The proposed neural network framework can learn the intricate relationships between PV generation and battery storage and enable accurate energy management predictions. This proposed deep learning framework can substantially upgrade the global energy control of building-integrated PV systems in low-energy buildings. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Source
Green Energy and Technology;pp.427-436
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Building; Deep Learning; Energy; Neural Networks; Photovoltaics; Solar
Coverage
Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, India; Yadav S.P., School of Computer Science Engineering and Technology (SCSET), Bennett University, U.P, Greater Noida, India; Altrjman C., Department of Chemical Engineering, Waterloo University, Waterloo, ON, Canada; Al-Turjman F., Artificial Intelligence, Software, and Information Systems Engineering Departments, Research Center for AI and IoT, AI and Robotics Institute, Near East University, Mersin, Turkey
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 18653529; ISBN: 978-303198996-4;
Format
online
Language
English
Type
Conference paper

Citation

Logeshwaran, J.; Yadav, Satya Prakash; Altrjman, Chadi; Al-Turjman, Fadi, “An Improved Deep Learning Framework for Energy Management in Low-Energy Building Integrated Photovoltaics (LE-BIPV),” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25331.

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