Adaptive Neuro - Fuzzy Inference Systems - An Alternative Forecasting Tool for Prosumers

作者：Dragomir Otilia^*; Dragomir Florin; Stefan Veronica; Minca Eugenia

来源：Studies in Informatics and Control, 2015, 24(3): 351-360.

DOI：10.24846/v24i3y201512

• Forecasting
• Neural Network
• Adaptive Neuro - Fuzzy Inference Systems
• Prosumers

The goal of this paper is to propose a forecasting tool to producers/ consumers (prosumers) of renewable energy sources, based on artificial intelligence techniques, trying to obtain optimal predictions. The exploration and the assessment of the criteria used for choosing the adequate forecasting tool are made in the artificial intelligence context. In this respect, firstly, the criteria used for choosing the best forecasting technology, in relation to each step of the modelling process are presented. Secondly, the identified criteria are tested on two Adaptive Neuro- Fuzzy Inference System (ANFIS) models, in order to underline the effects of these users' decisions over the forecasting performances.

• 出版日期2015-9