This paper proposes a novel price forecasting method based on wavelet transform combined with ARIMA and GARCH models. By wavelet transform, the historical price series is decomposed and reconstructed into one approximation series and some detail series. Then each subseries can be separately...

Because of China's increasingly limited energy supplies and serious environmental pollution, much attention has been paid to conserving energy and reducing emissions to help the country's economy achieve sustainable development. As the electric power industry is the largest consumer of coal...

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...

The China's electricity consumption was 4966 TWh in 2012, which is the world top electricity consumer. The low carbon electricity is one of the key issues of its sustainable development. IRSP (integrated resource strategic planning) is a useful tool to implement DSM (demand side management) and...

Many governments around the world are focusing on emissions reduction through energy efficiency improvements, particularly on the demand side. Although Integrated Resource Planning (IRP), which considers both supply-side and demand-side options, had been a useful tool in the planning process for...

China׳s 12th Five-Year Plan addresses new challenges and sets new goals in the country׳s power sector. The structure of power generation development is to be optimised to properly balance coal transportation and power transmission. The controversy over the direction of grid transmission and...

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...

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...