Harmony search-based optimization of artificial neural network for predicting AC power from a photovoltaic system

Harmony Search ◽

Photovoltaic System ◽

Ac Power ◽

Optimization of an Artificial Neural Network using Firefly Algorithm for modeling AC power from a photovoltaic system

2015 SAI Intelligent Systems Conference (IntelliSys) ◽

10.1109/intellisys.2015.7361200 ◽

2015 ◽

Cited By ~ 3

Author(s):

Shahril Irwan Sulaiman ◽

Zulkifli Othman ◽

Ismail Musirin ◽

Nor Syakila Mohd Zainol Abidin

Keyword(s):

Neural Network ◽

Firefly Algorithm ◽

Photovoltaic System ◽

Ac Power ◽

Prediction of AC power output in grid-connected photovoltaic system using Artificial Neural Network with multi-variable inputs

2016 IEEE Conference on Systems, Process and Control (ICSPC) ◽

10.1109/spc.2016.7920728 ◽

2016 ◽

Author(s):

Norfarizani Nordin ◽

Shahril Irwan Sulaiman ◽

Ahmad Maliki Omar

Keyword(s):

Neural Network ◽

Power Output ◽

Photovoltaic System ◽

Ac Power ◽

Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

Sustainable Cities and Society ◽

10.1016/j.scs.2021.103149 ◽

2021 ◽

pp. 103149

Author(s):

Nasim Ghadami ◽

Mohammad Gheibi ◽

Zahra Kian ◽

Mahdieh Ghiyasi Faramarz ◽

Reza Naghedi ◽

...

Keyword(s):

Neural Network ◽

Solar Energy ◽

Smart Cities ◽

Photovoltaic System ◽

A harmony search-based artificial neural network for stock market prediction

International Journal of Business Forecasting and Marketing Intelligence ◽

10.1504/ijbfmi.2015.075323 ◽

2015 ◽

Vol 2 (1) ◽

pp. 19

Author(s):

Soumya Das ◽

Sarojananda Mishra ◽

Srinivas Prasad ◽

Manas Ranjan Senapati

Keyword(s):

Neural Network ◽

Stock Market ◽

Harmony Search ◽

Stock Market Prediction ◽

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) ◽

Artificial Neural Network Based Maximum Power Point Tracking of a Photovoltaic System

10.1109/icecte48615.2019.9303531 ◽

2019 ◽

Author(s):

Md. Motakabbir Rahman ◽

M. S. Islam

Keyword(s):

Neural Network ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Photovoltaic System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Artificial Neural ◽

Power Point

Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS): application for a photovoltaic system under unstable environmental conditions

International Journal of Energy and Environmental Engineering ◽

10.1007/s40095-022-00472-x ◽

2022 ◽

Author(s):

Pascal Kuate Nkounhawa ◽

Dieunedort Ndapeu ◽

Bienvenu Kenmeugne

Keyword(s):

Neural Network ◽

Environmental Conditions ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Photovoltaic System ◽

Inference System ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Artificial Neural Network Ann

Modelling of sizing the photovoltaic system parameters using artificial neural network

Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003. ◽

10.1109/cca.2003.1223410 ◽

2003 ◽

Keyword(s):

Neural Network ◽

Photovoltaic System ◽

System Parameters ◽

2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014) ◽

A hybrid bat Algorithm Artificial Neural Network for grid-connected photovoltaic system output prediction

10.1109/peoco.2014.6814502 ◽

2014 ◽

Cited By ~ 6

Author(s):

Mohd Kamil Ramawan ◽

Zulkifli Othman ◽

Shahril Irwan Sulaiman ◽

Ismail Musirin ◽

Norhalida Othman

Keyword(s):

Neural Network ◽

Bat Algorithm ◽

Photovoltaic System ◽

System Output ◽

A Study on Artificial Neural Network-based Solar Radiation Forecasting for Efficient Solar Photovoltaic System

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2019.29.6.501 ◽

2019 ◽

Vol 29 (6) ◽

pp. 501-506

Author(s):

Minseok Kim ◽

Seunghwan Jung ◽

Jonggeun Kim ◽

Hansoo Lee ◽

Baekcheon Kim ◽

...

Keyword(s):

Neural Network ◽

Solar Radiation ◽

Photovoltaic System ◽

Solar Photovoltaic ◽

Artificial Neural ◽

Solar Photovoltaic System

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011) ◽

Artificial neural network based maximum power point tracker for photovoltaic system

10.1049/cp.2011.0348 ◽

2011 ◽

Cited By ~ 2

Author(s):

S.D. Anitha ◽

S.B.J. Prabha

Keyword(s):

Neural Network ◽

Maximum Power ◽

Photovoltaic System ◽

Maximum Power Point ◽

Maximum Power Point Tracker ◽

Artificial Neural ◽

Power Point