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This research on cognitive Decision Support System for the stake holders of Indian green coffee supply chain provides the necessary business intelligence required for the improvement of market retention capability quality metrics of Indian coffee in the international market. The combined forecast model comprises of traditional extrapolative models, ARIMA model and Least square Support vector machine model. Performance criteria like, tracking signal spectrums is used for the assessment of the time series data forecast accuracy for all countries. Demand data volume in metric tonnes for all the importing nations and prediction of exporters' share price movement in the stock market are the target vectors of this cognitive Decision support System modeling. Keywords-Combined forecast, Cognition driven Decision Support System, Least square Support vector machine, ARIMA model, Extrapolative models. Supply chain demand forecast and tracking signals, Time series forecasting978-1-4799-7171-8/15/$31.00 ©2015 IEEE

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In big data and machine learning, energy analytics has shown rapid development in the past decade. With this development in energy analytics, the energy data has exponentially increased well in different areas and domains. Energy computing techniques have been used in various domains, particularly in energy data to handle the data analysis process. This paper focuses on explaining the concept and evolution of various research questions formulation, data extraction, quality valuation, search strategy, study selection and reporting the results in energy-oriented domains to evaluate energy-computing techniques. The thermal power plant, power system and smart grid datasets were highly used out of plenty of other datasets discussed and the ANN algorithm is most commonly used to classify the dataset. Different sets of algorithms are used for data analysis, classification, converting structured data to unstructured data, regression, visualization, and forecasting. Journal publications from the year 2012 to 2020 have reviewed and adopted a systematic approach to identify the findings of all relevant research methodologies in the defined research domain.