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- Data for: Short-term wind power forecasting approach based on clustering algorithm and Seq2Seq model using NWP dataThe Sotavento wind farm is located in Galicia, Spain (43.354377N, 7.881213W, m.a.s.l.). It consists of 24 wind turbines and the installed capacity is 17.56 MW. The historical wind speed, wind direction and total power output of 24 wind turbines with 10-min resolution of this wind farm in 2016 are listed.
- Data for: A dynamic quantile regression model for the relationship between oil prices and stock markets in oil-importing and oil-exporting countriesWeekly returns of oil price and stock markets for the major oil-importing and oil-exporting countries
- Data for: The prominence of renewable and non-renewable electricity generation on the Environmental Kuznets Curve: A case study of Ethiopiaall the coding that runs our results are in this RATS file.
- Data for: Long-term Investment Planning for the Electricity Sector in Small Island Developing States: Case Study for JamaicaThis dataset includes demand, supply and price parameters used for the generation and transmission expansion plan for Jamaica.
- Data for: Optimization and control of battery-flywheel compound energy storage system during an electric vehicle brakingThe patial MATLAB codes for optimization and control
- Data for: Measurement and influential factors of the TFEE of coal resources of China's provinces Based on Bootstrap-DEA and TobitRaw ,processed data files,code
- Data for: Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy: Evidence from AzerbaijanThis file includes RATS codes for the near VAR and full VAR model, and dataset for the manuscript titled "Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy: Evidence from Azerbaijan". Dataset includes variables used in the empirical analysis. To obtain the Figure 4 or to estimate the near VAR model, please run the near VAR. prf file. To obtain the Figure 5 or to estimate the full VAR model, please run the full VAR. prf file.
- Data for: Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehiclesThis is the raw results of optimal battery replacements and optimal HESS costs of a series of HESSs. This datasets are generated by "DP_for_battery_replacements_and_HESS_costs.m" and accounts for Fig. 8 (I) and (II).
- Data for: Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehiclesThis is the dynamic programming algorithm developed in Matlab and tailored for solving the optimal battery replacements and financial costs of a series of HESSs. The state of energy of supercapacitor is adopted as the state variable and battery replacements and financial costs are the objectives, respectively. This file can perform standalone optimization without vehicle model, however, the other two files "Bat_SC_tables.m" and "pb_pwr_TUS06.m" must be imported into Matlab workspace before running this file. This file accounts for the results in Sections 5.4. Every line in this file is carefully annotated.
- Data for: Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehiclesThis is the dynamic programming algorithm developed in Matlab and tailored for solving the optimal battery degradation of a HESS. The state of energy of supercapacitor is adopted as the state variable and battery degradation coefficient is the objective. This file can perform standalone optimization without vehicle model, however, the other two files "Bat_SC_tables.m" and "pb_pwr_TUS06.m" must be imported into Matlab workspace before running this file. This file accounts for the results in Sections 5.2 and 5.3. Every line in this file is carefully annotated.
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