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Annual load forecasting is very important for the electric power industry. As influenced by various factors, an annual load curve shows a non-linear characteristic, which demonstrates that the annual load forecasting is a non-linear problem. Support vector regression (SVR) is proven to be useful...
Persistent link: https://www.econbiz.de/10010572007
This paper examines the driving forces for reducing China’s CO2 emission intensity between 1998 and 2008, utilizing the logarithmic mean divisia index (LMDI) technique. By first grouping the CO2 emissions into two categories, those arising from activities related to the electric power industry...
Persistent link: https://www.econbiz.de/10010576283
China faced the greatest challenge in balancing its economic growth, energy and resource security as well as environmental pollution. The energy-intensive industries, which used to be the major force driving China׳s economic growth, had seriously exhausted the countries׳ natural resources and...
Persistent link: https://www.econbiz.de/10011049314
This paper employs the quadratic directional output distance function to derive shadow prices of China’s aggregate carbon emissions at the province level between 1997 and 2010. The empirical results indicate that the national weighted average shadow price presents an “N-shape” curve across...
Persistent link: https://www.econbiz.de/10011030293