Next Article in Journal
A Review of Antiviral and Antioxidant Activity of Bioactive Metabolite of Macroalgae within an Optimized Extraction Method
Next Article in Special Issue
Carbon-Responsive Computing: Changing the Nexus between Energy and Computing
Previous Article in Journal
Short-Term Forecasting of Photovoltaic Power Generation Based on Feature Selection and Bias Compensation–LSTM Network
Article

Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis

1
Energia Design Research Group, Szentagothai Research Center, University of Pecs, H-7622 Pécs, Hungary
2
Ad-Vitalis Ltd., H-7624 Pecs, Hungary
3
Smart-Inno Expert Ltd., H-8360 Keszthely, Hungary
*
Author to whom correspondence should be addressed.
Academic Editor: Dimitrios Katsaprakakis
Energies 2021, 14(11), 3089; https://doi.org/10.3390/en14113089
Received: 16 April 2021 / Revised: 20 May 2021 / Accepted: 24 May 2021 / Published: 26 May 2021
Renewable energy is one of the most discussed topics nowadays, more so than traditional combustible energy sources and nuclear energy. There is an apparent need to study its public acceptance and the general public’s knowledge about it, especially in the context of more advanced inventions, such as smart grids, energy storage, or photovoltaic inverters. In this research, the results of a custom survey and those of several types of public social media datasets were processed to gain insights into the acceptance and awareness of these technologies. The second aim was to investigate technologies and related public opinions about manufacturers. One social media dataset was processed by a novel technology based on automatic data collection from popular social media sources, blogs, forums and public news. All the collected and anonymized data were restored in a custom-made data lake (unstructured database) and analyzed by a natural language processing (NLP) engine to extract the required information. The results showed that the Hungarian public’s knowledge differs from the European reference values by a very high percentage. A further goal for new research in the investigated area will be to achieve a business intelligence rated system in order to predict future trends and events. Since different methods provide results from different viewpoints, the conclusion is that combined analyses have to be used for investigating popular topics related to energy, such as various technologies, issues related to energy transition, or even car sharing services for a sustainable future. View Full-Text
Keywords: social media analysis; NLP; energy; renewable energy; energy transition; public opinion social media analysis; NLP; energy; renewable energy; energy transition; public opinion
Show Figures

Figure 1

MDPI and ACS Style

Haber, I.E.; Toth, M.; Hajdu, R.; Haber, K.; Pinter, G. Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis. Energies 2021, 14, 3089. https://doi.org/10.3390/en14113089

AMA Style

Haber IE, Toth M, Hajdu R, Haber K, Pinter G. Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis. Energies. 2021; 14(11):3089. https://doi.org/10.3390/en14113089

Chicago/Turabian Style

Haber, Istvan E., Mate Toth, Robert Hajdu, Kinga Haber, and Gabor Pinter. 2021. "Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis" Energies 14, no. 11: 3089. https://doi.org/10.3390/en14113089

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop