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Prediction of Hydropower Energy Price Using Go’mes-Maravall Seasonal Model
for predicting electricity price in Iranian market using energy purchase data from a hydropower plant. The model was run utilizing SEAT (Signal Extraction in ARIMA Time series) and TARMO (Time Series Regression with ARIMA Noise, Missing Observations, and Outliers...
Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems
Optimal operation of reservoir systems is the most important issue in water resources management. It presents
a large variety of multi-objective problems that require powerful optimization tools in order to fully ...
An optimal renewable energy management strategy with and without hydropower using a factor weighted multi-criteria decision making analysis and nation-wide big data - Case study in Iran
using neural networks and analysis of variance, respectively.
Biogas generation was modeled using a BSM2 dynamic model, and the available hydropower was
evaluated in the form of a techno-economic assessment. A hybrid solar PV/wind turbine...