686
Views
38
CrossRef citations to date
0
Altmetric
Original Articles

Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks

&
Pages 279-289 | Received 24 Mar 2008, Accepted 21 May 2008, Published online: 20 Jul 2010

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (6)

Mert Demircioğlu & Sevgi Eşİyok. (2022) Energy consumption forecast of Turkey using artificial neural networks from a sustainability perspective. International Journal of Sustainable Energy 41:8, pages 1127-1141.
Read now
Mustafa Şeker. (2022) Long term electricity load forecasting based on regional load model using optimization techniques: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:1, pages 21-43.
Read now
Mehmet Bilgili, Alper Yildirim, Arif Ozbek, Kerimcan Celebi & Firat Ekinci. (2021) Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting. International Journal of Green Energy 18:6, pages 578-594.
Read now
Denizhan Guven, M. Ozgur Kayalica, Gulgun Kayakutlu & Erkan Isikli. (2021) Impact of climate change on sectoral electricity demand in Turkey. Energy Sources, Part B: Economics, Planning, and Policy 16:3, pages 235-257.
Read now
Ergun Uzlu. (2019) Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey. Energy Sources, Part B: Economics, Planning, and Policy 14:5, pages 183-200.
Read now
M. Çunkaş & U. Taşkiran. (2011) Turkey's Electricity Consumption Forecasting Using Genetic Programming. Energy Sources, Part B: Economics, Planning, and Policy 6:4, pages 406-416.
Read now

Articles from other publishers (32)

Mehmet Bilgili & Engin Pinar. (2023) Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye. Energy 284, pages 128575.
Crossref
Savaş TARKUN & Erkan IŞIĞIÇOK. (2023) Türkiye’de orta vadede elektrik talebine etki eden içsel değişkenlerin belirlenmesiIdentification of endogenous variables affecting medium-term electricity demand in Turkey. Business Economics and Management Research Journal 6:2, pages 202-217.
Crossref
Diamantis Koutsandreas. (2023) Does complexity compensate for accuracy in annual final energy demand forecasting? A multi-methods case study in G7 countries. Does complexity compensate for accuracy in annual final energy demand forecasting? A multi-methods case study in G7 countries.
Yuya Tanigawa, Narayanan Krishnan, Eitaro Oomine, Atushi Yona, Hiroshi Takahashi & Tomonobu Senjyu. (2023) Clustering Method for Load Demand to Shorten the Time of Annual Simulation. Energies 16:5, pages 2264.
Crossref
Gürkan Işık, Hulisi Öğüt & Mustafa Mutlu. (2023) Deep learning based electricity demand forecasting to minimize the cost of energy imbalance: A real case application with some fortune 500 companies in Türkiye. Engineering Applications of Artificial Intelligence 118, pages 105664.
Crossref
Mohammad M. Hamed, Hesham Ali & Qasem Abdelal. (2022) Forecasting annual electric power consumption using a random parameters model with heterogeneity in means and variances. Energy 255, pages 124510.
Crossref
Kurtuluş DEĞER, Musa Galip ÖZKAYA & Fatih Emre BORAN. (2022) Modelling and Analysis of Future Energy Scenarios on the Sustainability Axis. Journal of Polytechnic.
Crossref
Serkan Ayvaz. 2022. Applications of Artificial Intelligence in Planning and Operation of Smart Grids. Applications of Artificial Intelligence in Planning and Operation of Smart Grids 97 131 .
Osman Tayfun BİŞKİN & Ahmet ÇİFCİ. (2021) Forecasting of Turkey’s Electrical Energy Consumption using LSTM and GRU NetworksLSTM ve GRU Ağları Kullanılarak Türkiye’nin Elektrik Enerjisi Tüketiminin Tahmin Edilmesi. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 8:2, pages 656-667.
Crossref
Ergun UZLU. (2021) Estimates of hydroelectric energy generation in Turkey with Jaya algorithm-optimized artificial neural networks. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 9:3, pages 446-462.
Crossref
Lei Lei, Wei Chen, Bing Wu, Chao Chen & Wei Liu. (2021) A building energy consumption prediction model based on rough set theory and deep learning algorithms. Energy and Buildings 240, pages 110886.
Crossref
Ali Volkan AKKAYA. (2021) GMDH-type neural network-based monthly electricity demand forecasting of Turkey. International Advanced Researches and Engineering Journal 5:1, pages 53-60.
Crossref
Musa YİLMAZ. (2021) SHORT TERM LOAD ESTIMATION FOR ELECTRICITY CONSUMPTION OF SOUTH EAST ANATOLIA TURKEY. European Journal of Technic.
Crossref
Vin Cent Tai, Yong Chai Tan, Nor Faiza Abd Rahman, Hui Xin Che, Chee Ming Chia, Lip Huat Saw & Mohd Fozi Ali. (2021) Long-Term Electricity Demand Forecasting for Malaysia Using Artificial Neural Networks in the Presence of Input and Model Uncertainties. Energy Engineering 118:3, pages 715-725.
Crossref
Tamer Ahmed Farrag & Ehab E. Elattar. (2021) Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting. IEEE Access 9, pages 68511-68522.
Crossref
Deyslen Mariano-Hernández, Luis Hernández-Callejo, Felix Santos García, Oscar Duque-Perez & Angel L. Zorita-Lamadrid. (2020) A Review of Energy Consumption Forecasting in Smart Buildings: Methods, Input Variables, Forecasting Horizon and Metrics. Applied Sciences 10:23, pages 8323.
Crossref
Zhongbin Zhang, Ye Liu, Lihua Cao & Heyong Si. (2020) A Forecasting Method of District Heat Load Based on Improved Wavelet Neural Network. Journal of Energy Resources Technology 142:10.
Crossref
Ergun UZLU & Tayfun DEDE. (2020) Jaya algoritması ile optimize edilmiş yapay sinir ağlarını kullanarak Türkiye’de elektrik enerjisi tüketiminin tahmini. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 8:3, pages 511-528.
Crossref
K. Moustris, K.A. Kavadias, D. Zafirakis & J.K. Kaldellis. (2020) Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data. Renewable Energy 147, pages 100-109.
Crossref
Mansoor Ali, Muhammad Adnan & Muhammad Tariq. (2019) Optimum control strategies for short term load forecasting in smart grids. International Journal of Electrical Power & Energy Systems 113, pages 792-806.
Crossref
Coşkun Hamzaçebi, Hüseyin Avni Es & Recep Çakmak. (2017) Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network. Neural Computing and Applications 31:7, pages 2217-2231.
Crossref
Utkucan Şahin. (2019) Forecasting of Turkey's electricity generation and CO 2 emissions in estimating capacity factor . Environmental Progress & Sustainable Energy 38:1, pages 56-65.
Crossref
Xinzhi Zhu, Shuo Yang, Jingyi Lin, Yi-Ming Wei & Weigang Zhao. (2018) Forecasting China’s electricity demand up to 2030: a linear model selection system. Journal of Modelling in Management 13:3, pages 570-586.
Crossref
Iman Ghalehkhondabi, Ehsan Ardjmand, Gary R. Weckman & William A. YoungIIII. (2016) An overview of energy demand forecasting methods published in 2005–2015. Energy Systems 8:2, pages 411-447.
Crossref
Swasti R. Khuntia, José L. Rueda & Mart A.M.M. Meijden. (2016) Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review. IET Generation, Transmission & Distribution 10:16, pages 3971-3977.
Crossref
Fan Zhang, Chirag Deb, Siew Eang Lee, Junjing Yang & Kwok Wei Shah. (2016) Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings 126, pages 94-103.
Crossref
Che-Jung Chang, Jan-Yan Lin & Meng-Jen Chang. (2016) Extended modeling procedure based on the projected sample for forecasting short-term electricity consumption. Advanced Engineering Informatics 30:2, pages 211-217.
Crossref
Hasan Hüseyin Çevik & Mehmet Çunkaş. (2015) Short-term load forecasting using fuzzy logic and ANFIS. Neural Computing and Applications 26:6, pages 1355-1367.
Crossref
O. Tolga Altinoz & Erhan Mengusoglu. (2015) Investigation of performance effect of input diversity on long term electricity demand forecasting. Investigation of performance effect of input diversity on long term electricity demand forecasting.
S. Saravanan, S. Kannan & C. Thangaraj. 2015. Power Electronics and Renewable Energy Systems. Power Electronics and Renewable Energy Systems 1281 1288 .
Haihong Bian & Xindi Wang. 2015. Proceedings of the Second International Conference on Mechatronics and Automatic Control. Proceedings of the Second International Conference on Mechatronics and Automatic Control 353 362 .
Weigang Zhao, Jianzhou Wang & Haiyan Lu. (2014) Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model. Omega 45, pages 80-91.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.