Forecasting energy consumption using ensemble ARIMA-ANFIS hybrid algorithm
By Sasan Barak, S. Sadegh. 2016
312 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/d47138fb0782c75e1599426828391f0891a1ec9e
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In Electrical and Electronic Engineering
In Management Science and Operations Research
Citations in the corpus
- Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (2019, methodology): “Therefore, the main objective of this study was to predict the compressive strength of fabricated GPC using novel hybrid AI approaches, namely a particle swarm optimization (PSO)-based adaptive network-based fuzzy inference system (PSOANFIS) and a genetic algorithm (GA)-based adaptive network based ”