Titlebook: Applied Operations Research and Financial Modelling in Energy; Practical Applicatio André B. Dorsman,Kazim Baris Atici,Mehmet Baha Kar Book

預(yù)兆前

書目名稱Applied Operations Research and Financial Modelling in Energy影響因子(影響力)




書目名稱Applied Operations Research and Financial Modelling in Energy影響因子(影響力)學(xué)科排名




書目名稱Applied Operations Research and Financial Modelling in Energy網(wǎng)絡(luò)公開度




書目名稱Applied Operations Research and Financial Modelling in Energy網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Operations Research and Financial Modelling in Energy被引頻次




書目名稱Applied Operations Research and Financial Modelling in Energy被引頻次學(xué)科排名




書目名稱Applied Operations Research and Financial Modelling in Energy年度引用




書目名稱Applied Operations Research and Financial Modelling in Energy年度引用學(xué)科排名




書目名稱Applied Operations Research and Financial Modelling in Energy讀者反饋




書目名稱Applied Operations Research and Financial Modelling in Energy讀者反饋學(xué)科排名

輕而薄

Book 2021s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, F

Credence

Optimization Methods on Electricity Generation and Transmission Expansion Planning Problem,en used to handle reliability and uncertainty of renewable resources and demand. Integration of power system with natural gas network leads to?integration to complex energy planning problem due to?non-linearity of natural gas network. In order to provide a practical pathway to carry out an energy pl

constellation

Demand-Driven Electricity Supply Options of Electric Vehicles: Modelling, Simulation, and Managemenation varying the number and type of chargers. We also report the energy consumption and utilization of chargers and introduce different charging policies (with/without valet service). We also discuss different pricing models and remaining open problems on how to best design public CSs.

Salivary-Gland

虛弱的神經(jīng)

Measuring Efficiency and Productivity Change in the Turkish Electricity Distribution Sector, decreased slightly in the analysis period. While reaching their efficiency scores, the EDCs assigned the majority of weights to transformer capacity as input and number of employees as output. Additionally, our findings assert that the factors of energy loss and commercial and industrial electricit

CURT

Price and Volatility Forecasting in Electricity with Support Vector Regression and Random Forest,ormance metrics of the SVR model are compared with those of naive and RF estimations. Furthermore, the sensitivity of the proposed model to feature reduction is also discussed. Overall, the results reveal SVR as an effective tool for electricity price forecasting in the Turkish electricity market, w

驚惶

離開真充足

Comparing the Renewable Energy Technologies via Forecasting Approaches,d polynomial regression. This study evaluates deep learning models and statistical models. It is quite important to compare and evaluate renewable energy prediction models. We evaluate the forecasting models using evaluation metrics. The models are compared with Mean Absolute Error (MAE) and Mean Sq

gait-cycle

,Business Cycles and? Energy Real Options Valuation,(GBM) suggests that there are significant differences across these models. The results indicate that ABM investors are more likely to invest within a specified period. Numerical analysis also points that macroeconomic risks are important for investors.