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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18460
Article Published : 7827
Total Authors : 20673
Total Reviewer : 756
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| Paper Title: | Smart Energy Optimization by Deep Reinforcement Learning : From Grid to Building |
| Authors Name: | Priya M Mehta , Yukta D Parab , Dr. Harshali Patil , Dr. Jyotshna Dongardive |
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IJRTI_188948
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| Published Paper Id: | IJRTI2401048 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | Smart Energy Optimization by Deep Reinforcement Learning : From Grid to Building is a review Research paper where various methods are explained to help optimize energy management. Renewable energies are being introduced in countries around the world to move away from the environmental impacts from fossil fuels. In the residential sector, smart buildings that utilize smart appliances, integrate information and communication technology and utilize a renewable energy source for in-house power generation are becoming popular. Accordingly, there is a need to understand what factors influence the accuracy of managing such smart buildings. Thus, this study reviews the application of Deep Reinforcement Learning in building and various other home management system.Various aspects are covered, such as Energy Optimization in buildings using the Proximal Policy Optimization (PPO), load forecasting, household consumption prediction, rooftop solar energy generation, and price prediction, Q-LEARNING method of deep reinforcement learning, Scalability in Grids. Also, a graphical representation of the energy optimization is included based on previous studies of datasets. This review supports research into the selection of an appropriate model for optimizing energy consumption of smart buildings. |
| Keywords: | HVAC, Q-Learning, HEMS, PPO. |
| Cite Article: | "Smart Energy Optimization by Deep Reinforcement Learning : From Grid to Building", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.276 - 281, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401048.pdf |
| Downloads: | 000205126 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2401048
Registration ID:188948
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 276 - 281 Country: Mumbai, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401048 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401048 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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