Our research involves analyzing the latest models used for electricity price forecasting, which include both traditional inferential statistical methods and newer deep learning techniques. Through our analysis of historical data use multiple weekday dummies, we have proposed an innovative solution forecasting spot prices. This breaking down series into two components: a seasonal trend component...

Identifying the Common Component of International Economic Fluctuations: A New Approach In this paper, we develop an aggregation procedure using time-varying weights for constructing the common component of international economic fluctuations. The methodology for deriving time-varying weights is based on some stylized features of the data documented in the paper. The model allows for a unified ...

Multivariate statistical techniques such as cluster analysis, multidimensional scaling and principal component analysis were applied to evaluate the temporal and spatial variations in water quality data set generated for two years (2008-2010) from six monitoring stations of Veli-Akkulam Lake and compared with a regional reference lake Vellayani of south India. Seasonal variations of 14 differen...

temperature and precipitation are among important atmospheric parameters for watershed planning. assessment of temperature and precipitation trends is very important for future watershed planning. in this paper, trends of atmospheric parameters such as seasonal and annual temperature and precipitation were examined for the synoptic stations of bandar anzali, rasht, ramsar, babolsar and gorgan. ...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc This discussion paper is/has been under review for the journal Biogeosciences (BG). Please refer to the corresponding final paper in BG if available. Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract Shell fluxes of planktonic foraminifera species vary intra-annually i...

Capillary GC and GC-MS analysis of the essential oil from the cones of JUNIPERUS COMMUNIS L. grown wild in Greece showed a high content of alpha-pinene (ca 27%), sabinene (13%), germacrene-D (10%), and myrcene (9%). The total oil (yield 2.95%) consisted of almost 105 constituents, 77 of which representing 93.1% were identified. As the main component of the oxygenated monoterpenes was found the ...