431 A Revised Method for Energy Demand Prediction by Neural Network

The Proceedings of the Symposium on Environmental Engineering ◽

10.1299/jsmeenv.2008.18.421 ◽

2008 ◽

Vol 2008.18 (0) ◽

pp. 421-423

Author(s):

Ryohei YOKOYAMA ◽

Tomoya NAKAO ◽

Tetsuya WAKUI

Keyword(s):

Neural Network ◽

Energy Demand ◽

Demand Prediction ◽

Energy Demand Prediction

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Neural network based optimization approach for energy demand prediction in smart grid

Neurocomputing ◽

10.1016/j.neucom.2017.08.017 ◽

2018 ◽

Vol 273 ◽

pp. 199-208 ◽

Author(s):

K. Muralitharan ◽

R. Sakthivel ◽

R. Vishnuvarthan

Keyword(s):

Neural Network ◽

Energy Demand ◽

Optimization Approach ◽

Demand Prediction ◽

Energy Demand Prediction

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Energy demand prediction through novel random neural network predictor for large non-domestic buildings

2017 Annual IEEE International Systems Conference (SysCon) ◽

10.1109/syscon.2017.7934803 ◽

2017 ◽

Author(s):

Jawad Ahmad ◽

Hadi Larijani ◽

Rohinton Emmanuel ◽

Mike Mannion ◽

Abbas Javed ◽

...

Keyword(s):

Neural Network ◽

Energy Demand ◽

Demand Prediction ◽

Random Neural Network ◽

Energy Demand Prediction

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Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm

Predictive Modelling for Energy Management and Power Systems Engineering ◽

10.1016/b978-0-12-817772-3.00010-0 ◽

2021 ◽

pp. 271-298

Author(s):

Sagthitharan Karalasingham ◽

Ravinesh Deo ◽

Ramendra Prasad

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Energy Demand ◽

Electrical Energy ◽

Heat Island ◽

Demand Prediction ◽

Energy Demand Prediction ◽

Emotional Neural Network

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Development of chaotically improved meta-heuristics and modified BP neural network-based model for electrical energy demand prediction in smart grid

Neural Computing and Applications ◽

10.1007/s00521-016-2408-3 ◽

2016 ◽

Vol 28 (S1) ◽

pp. 877-891 ◽

Author(s):

Badar Islam ◽

Zuhairi Baharudin ◽

Perumal Nallagownden

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Energy Demand ◽

Electrical Energy ◽

Demand Prediction ◽

Energy Demand Prediction

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Joint Energy Demand Prediction and Control

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Emerging Technologies for Developing Countries ◽

10.1007/978-3-319-67837-5_9 ◽

2017 ◽

pp. 89-96

Author(s):

Mehdi Merai ◽

Jia Yuan Yu

Keyword(s):

Energy Demand ◽

Demand Prediction ◽

Prediction And Control ◽

And Control ◽

Energy Demand Prediction

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Machine learning-based thermal response time ahead energy demand prediction for building heating systems

Applied Energy ◽

10.1016/j.apenergy.2018.03.125 ◽

2018 ◽

Vol 221 ◽

pp. 16-27 ◽

Author(s):

Yabin Guo ◽

Jiangyu Wang ◽

Huanxin Chen ◽

Guannan Li ◽

Jiangyan Liu ◽

...

Keyword(s):

Machine Learning ◽

Response Time ◽

Energy Demand ◽

Thermal Response ◽

Heating Systems ◽

Demand Prediction ◽

Thermal Response Time ◽

Energy Demand Prediction

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Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry

Building Simulation ◽

10.1007/s12273-019-0531-7 ◽

2019 ◽

Vol 12 (5) ◽

pp. 797-816 ◽

Author(s):

Samy Iousef ◽

Hamid Montazeri ◽

Bert Blocken ◽

Pieter van Wesemael

Keyword(s):

Heat Transfer ◽

Heat Transfer Coefficient ◽

Transfer Coefficient ◽

Convective Heat Transfer ◽

Convective Heat ◽

Energy Demand ◽

Convective Heat Transfer Coefficient ◽

Demand Prediction ◽

Energy Demand Prediction

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426 Energy Demand Prediction of Housing Complex Using Support Vector Regression

The Proceedings of Conference of Kansai Branch ◽

10.1299/jsmekansai.2014.89._4-26_ ◽

2014 ◽

Vol 2014.89 (0) ◽

pp. _4-26_

Author(s):

Takahiro KINOSHITA ◽

Tetsuya WAKUI ◽

Ryohei YOKOYAMA ◽

Hiroshi IITAKA ◽

Hirohisa AKI

Keyword(s):

Support Vector Regression ◽

Energy Demand ◽

Support Vector ◽

Demand Prediction ◽

Housing Complex ◽

Energy Demand Prediction

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Real-time Energy Demand Prediction Method Using Weather Forecasting Data and Solar Model

Korean Journal of Air-Conditioning and Refrigeration Engineering ◽

10.6110/kjacr.2013.25.6.310 ◽

2013 ◽

Vol 25 (6) ◽

pp. 310-316 ◽

Author(s):

Young-Hoon Kwak ◽

Se-Hwan Cheon ◽

Cheol-Yong Jang ◽

Jung-Ho Huh

Keyword(s):

Real Time ◽

Energy Demand ◽

Weather Forecasting ◽

Prediction Method ◽

Solar Model ◽

Demand Prediction ◽

Energy Demand Prediction

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A Data-Driven Approach for Long-Term Building Energy Demand Prediction

Construction Research Congress 2020 ◽

10.1061/9780784482865.123 ◽

2020 ◽

Author(s):

Lufan Wang ◽

Nora M. El-Gohary

Keyword(s):

Energy Demand ◽

Building Energy ◽

Data Driven ◽

Demand Prediction ◽

Data Driven Approach ◽

Energy Demand Prediction

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