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Baringo, L.; Conejo, A.J. - In: Applied Energy 101 (2013) C, pp. 475-482

the K-means clustering technique, and allow representing the uncertainty of and the correlation between electric load and …

Persistent link: https://www.econbiz.de/10010594026

Assessing price clustering in European Carbon Markets

Palao, Fernando; Pardo, Angel - In: Applied Energy 92 (2012) C, pp. 51-56

The presence of price clustering in markets is taken as a sign of market inefficiency that can influence trading … reveal the strong presence of price clustering in the carbon market at prices ending in digits 0 and 5. These findings … support the attraction hypothesis, which endorses a significant clustering on gravitational prices, but also backs the …

Persistent link: https://www.econbiz.de/10010571954

A clustering approach to domestic electricity load profile characterisation using smart metering data

McLoughlin, Fintan; Duffy, Aidan; Conlon, Michael - In: Applied Energy 141 (2015) C, pp. 190-199

The availability of increasing amounts of data to electricity utilities through the implementation of domestic smart metering campaigns has meant that traditional ways of analysing meter reading information such as descriptive statistics has become increasingly difficult. Key characteristic...

Persistent link: https://www.econbiz.de/10011189429

Electrogenesis reduces the combustion efficiency of sewage sludge

Ma, Jinxing; Wang, Zhiwei; Zhu, Chaowei; Xu, Yinlun; … - In: Applied Energy 114 (2014) C, pp. 283-289

matter (ROM) and waste activated sludge (WAS) in the electrogenesis process. In order to reduce the dimensionality of …

Persistent link: https://www.econbiz.de/10010729391

Gaussian process regression based optimal design of combustion systems using flame images

Chen, Junghui; Chan, Lester Lik Teck; Cheng, Yi-Cheng - In: Applied Energy 111 (2013) C, pp. 153-160

With the advanced methods of digital image processing and optical sensing, it is possible to have continuous imaging carried out on-line in combustion processes. In this paper, a method that extracts characteristics from the flame images is presented to immediately predict the outlet content of...

Persistent link: https://www.econbiz.de/10010702668

Demand response models with correlated price data: A robust optimization approach

Ferreira, R.S.; Barroso, L.A.; Carvalho, M.M. - In: Applied Energy 96 (2012) C, pp. 133-149

In the electricity industry, the processes through which consumers respond to price signals embedded in tariffs by changing their consumption patterns is generally referred to as demand response. In such a context, consumers are offered an opportunity to maximize the surplus derived from...

Persistent link: https://www.econbiz.de/10010702675

The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level

Martchamadol, Jutamanee; Kumar, S. - In: Applied Energy 127 (2014) C, pp. 219-238

The energy security performance of Thailand has been assessed using the “Aggregated Energy Security Performance Indicator (AESPI)” for the period 1986–2030. During 1986–1991, AESPI had a sharply decreasing trend from level 9 to level 7 (maximum is 10), implying that the country’s...

Persistent link: https://www.econbiz.de/10011040372

An aggregated energy security performance indicator

Martchamadol, Jutamanee; Kumar, S. - In: Applied Energy 103 (2013) C, pp. 653-670

An “Aggregated Energy Security Performance Indicator (AESPI)” has been developed by considering 25 individual indicators representing social, economy and environmental dimensions. The principle used, data required and the methodology for the development of AESPI have been detailed. AESPI...

Persistent link: https://www.econbiz.de/10011041355