Analyzing Land Use Change and Climate Data to Forecast Energy Demand for a Smart Environment

Author:

Prasad Archana1,Varde Aparna S.2,Gottimukkala Raga2,Alo Clement1,Lal Pankaj1

Affiliation:

1. Montclair State University,Department of Earth and Environmental Science,Montclair,NJ,USA

2. Montclair State University,Department of Computer Science,Montclair,NJ,USA

Funder

National Science Foundation

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

2. Roles of the Web in Commercial Energy Efficiency: IoT, Cloud Computing, and Opinion Mining;ACM SIGWEB Newsletter;2023-09

3. Power and Solar Energy Predictions Based on Neural Networks and Principal Component Analysis with Meteorological Parameters of Two Different Cities: Case of Diass and Taïba Ndiaye;2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM);2022-10-26

4. Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory;2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI);2022-10

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