Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey
Energy supply together with the data management is one of the key challenges of our century. Specifically, to decrease the climate change effects as energy requirement increases day by day poses a serious dilemma. It can be adequately reconciled with innovative data management in (renewable) energy...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2016/8506193 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841524859417395200 |
|---|---|
| author | Oya H. Yuregir Cagri Sagiroglu |
| author_facet | Oya H. Yuregir Cagri Sagiroglu |
| author_sort | Oya H. Yuregir |
| collection | DOAJ |
| description | Energy supply together with the data management is one of the key challenges of our century. Specifically, to decrease the climate change effects as energy requirement increases day by day poses a serious dilemma. It can be adequately reconciled with innovative data management in (renewable) energy technologies. The new environmental-friendly planning methods and investments that are discussed by researchers, governments, NGOs, and companies will give the basic and most important variables in shaping the future. We use modern data mining methods (SOM and K-Means) and official governmental statistics for clustering cities according to their consumption similarities, the level of welfare, and growth rate and compare them with their potential of renewable resources with the help of Rapid Miner 5.1 and MATLAB software. The data mining was chosen to make the possible secret relations visible within the variables that can be unpredictable at first sight. Here, we aim to see the success level of the chosen algorithms in validation process simultaneously with the utilized software. Additionally, we aim to improve innovative approach for decision-makers and stakeholders about which renewable resource is the most suitable for an exact region by taking care of different variables at the same time. |
| format | Article |
| id | doaj-art-55bb12325bf44b06b333016f2d3e49f4 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-55bb12325bf44b06b333016f2d3e49f42025-02-03T05:47:17ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2016-01-01201610.1155/2016/85061938506193Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of TurkeyOya H. Yuregir0Cagri Sagiroglu1Faculty of Engineering and Architecture, Industrial Engineering, Cukurova University, 01330 Adana, TurkeyFaculty of Arts, IRIO Department, Groningen University, 9712 EK Groningen, NetherlandsEnergy supply together with the data management is one of the key challenges of our century. Specifically, to decrease the climate change effects as energy requirement increases day by day poses a serious dilemma. It can be adequately reconciled with innovative data management in (renewable) energy technologies. The new environmental-friendly planning methods and investments that are discussed by researchers, governments, NGOs, and companies will give the basic and most important variables in shaping the future. We use modern data mining methods (SOM and K-Means) and official governmental statistics for clustering cities according to their consumption similarities, the level of welfare, and growth rate and compare them with their potential of renewable resources with the help of Rapid Miner 5.1 and MATLAB software. The data mining was chosen to make the possible secret relations visible within the variables that can be unpredictable at first sight. Here, we aim to see the success level of the chosen algorithms in validation process simultaneously with the utilized software. Additionally, we aim to improve innovative approach for decision-makers and stakeholders about which renewable resource is the most suitable for an exact region by taking care of different variables at the same time.http://dx.doi.org/10.1155/2016/8506193 |
| spellingShingle | Oya H. Yuregir Cagri Sagiroglu Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey International Journal of Photoenergy |
| title | Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey |
| title_full | Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey |
| title_fullStr | Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey |
| title_full_unstemmed | Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey |
| title_short | Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey |
| title_sort | solar energy validation for strategic investment planning via comparative data mining methods an expanded example within the cities of turkey |
| url | http://dx.doi.org/10.1155/2016/8506193 |
| work_keys_str_mv | AT oyahyuregir solarenergyvalidationforstrategicinvestmentplanningviacomparativedataminingmethodsanexpandedexamplewithinthecitiesofturkey AT cagrisagiroglu solarenergyvalidationforstrategicinvestmentplanningviacomparativedataminingmethodsanexpandedexamplewithinthecitiesofturkey |