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Artificial neural networks for spot electricity price forecasting : a review

Vijayalakshmi, Sedidi; Girish, Godekere Panchakshara Murthy - In: International Journal of Energy Economics and Policy : IJEEP 5 (2015) 4, pp. 1092-1097

Persistent link: https://www.econbiz.de/10011456481

Forecasting regional inflation in the Philippines using machine learning techniques: : A new approach

Gabriel, Vidal Marvin C.; Bautista, Dennis M.; Mapa, … - 2020

Persistent link: https://www.econbiz.de/10014318368

Neurolinguistic exchange rate forecasting at war as a bankruptcy economic protection mechanism

Kozlovskyi, Serhii; Poliakov, Rodion - In: Montenegrin journal of economics 20 (2024) 1, pp. 81-94

Persistent link: https://www.econbiz.de/10014465910

Long term electricity consumption forecast in Brazil : a fuzzy logic approach

Torrini, Fabiano Castro; Souza, Reinaldo Castro; … - In: Socio-economic planning sciences : the international … 54 (2016), pp. 18-27

Persistent link: https://www.econbiz.de/10011481617

Are emerging market currency crises predictable? A test

Peltonen, Tuomas A. - 2006

were able to signal currency crises reasonably well in-sample, but the forecasting power of these models out-ofsample was …

Persistent link: https://www.econbiz.de/10011604617

Building energy consumption prediction using neural-based models

Buturache, Adrian-Nicolae; Stancu, Stelian - In: International Journal of Energy Economics and Policy : IJEEP 12 (2022) 2, pp. 30-38

Persistent link: https://www.econbiz.de/10013189980

Evaluation of the accuracy of machine learning predictions of the Czech Republic's exports to the China

Suler, Petr; Rowland, Zuzana; Krulicky, Tomas - In: Journal of risk and financial management : JRFM 14 (2021) 2/76, pp. 1-28

The objective of this contribution is to predict the development of the Czech Republic's (CR) exports to the PRC (People’s Republic of China) using ANN (artificial neural networks). To meet the objective, two research questions are formulated. The questions focus on whether growth in the...

Persistent link: https://www.econbiz.de/10012484113

A thick ANN model for forecasting inflation

Hanif, Muhammad Nadim; Mughal, Khurrum Shahzad; Iqbal, Javed - 2018

Persistent link: https://www.econbiz.de/10011939625

Conditional density forecast of China's energy demand via QRNN model

Cao, Shubo; Xu, Qifa; Jiang, Cuixia; He, Yaoyao - In: Applied economics letters 25 (2018) 12, pp. 867-875

Persistent link: https://www.econbiz.de/10012130465

Forecasting exchange rate change between USD and JPY by using dynamic adaptive neuron-fuzzy logic system

Liu, Wei-ping - In: Asia Pacific journal of finance and banking research 2 (2008) 2, pp. 1-12

Persistent link: https://www.econbiz.de/10003851982

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