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Tiwari A.K.,IFHE Hyderabad | Albulescu C.T.,Polytechnic University of Timişoara
Renewable and Sustainable Energy Reviews | Year: 2016

This paper examines the stationarity properties of the renewable-to-total electricity consumption ratio. For this purpose we use Becker et al.'s (2006) flexible Fourier stationarity test as a benchmark, and the recent advanced Fourier ADF unit root test, for 90 countries, over the period 1980-2011. The results of the first test document the stationarity of the renewable-to-total electricity consumption ratio for 65 countries from different geographic areas, namely Africa, America, Asia-Pacific and Europe. However, when validated, the Fourier ADF test shows that the null hypothesis of unit root is rejected in all the cases, except for the United Kingdom. The fact that the stationarity in the share of renewable-to-total electricity consumption is documented by the new proposed, more powerful tests, does not necessarily mean that the renewable energy policies are ineffective, as the previous literature states. A wide range of elements might influence the stationarity or non-stationarity of this ratio. However, our findings are important from the modeling perspective, as the empirical studies on renewable energy can produce reliable results and use appropriate techniques for modeling and forecasting only if the stationarity or non-stationarity is correctly documented. © 2015 Elsevier Ltd. All rights reserved.

Tiwari A.K.,IFHE Hyderabad | Albulescu C.T.,Polytechnic University of Timişoara
Applied Energy | Year: 2016

We use a continuous wavelet approach and deploy asymmetric, multi-horizon Granger-causality tests between the return series of the oil price and the India-US exchange rate, over the time-span 1980M1–2016M2. The results highlight important co-movements in the post-reform period, especially for the 2–4-years band. The wavelet Granger-causality tests show that the exchange rate Granger-causes the oil price in the long run, while the opposite applies in the short run. Moreover, we find that the Granger-causal relationship between variables is non-linear, asymmetric and indirect, which will help policymakers and traders to make better strategic and investment decisions. © 2016 Elsevier Ltd

Tugcu C.T.,Akdeniz University | Tiwari A.K.,IFHE Hyderabad
Renewable and Sustainable Energy Reviews | Year: 2016

Studies proved that output growth is mainly associated with the Total Factor Productivity (TFP) growth and variables that affect the TFP have an important explanatory power on output. In this regards, the aim of this study is to examine the causal relationship between different types of energy consumption and TFP growth in the BRICS from 1992 to 2012. A panel bootstrap Granger causality test by Kónya (2006) [68] was employed to investigate the direction of possible connection between energy consumption and TFP growth. Results show that no remarkable causal link exists between renewable energy consumption and TFP growth in the BRICS. However, in the case of non-renewables, energy consumption creates a positive externality that contributes economic development in Brazil and South Africa by the growth of TFP as well as energy use itself. In this respect, policies that promote coal and non-renewable electricity consumption in South Africa and natural gas consumption in Brazil may be beneficial for their economic development. © 2016 Elsevier Ltd

Girish G.P.,IFHE Hyderabad
Energy Strategy Reviews | Year: 2016

In this study we investigate Spot electricity price forecasting performance of Autoregressive-GARCH models on Indian spot electricity price series. Hourly spot electricity price data for each of the five regions of Indian Electricity market from 1st of October 2010 to 15th November 2013 is used for the study to evaluate forecasting performance of the calibrated models. The conditional mean and conditional variance equations are estimated and one-step-ahead forecasts with a rolling window is performed. The fact that India being the only country in the world having power exchanges in-spite of demand outstripping supply and peak power shortage even to this day, further emphasizes the significance and criticality of spot electricity price forecasting from a power market participant's perspective and its practical relevance for Open access consumers in India. © 2016 Elsevier Ltd.

Vaithianathan S.,IFHE Hyderabad
Electronic Commerce Research | Year: 2010

Firms across the globe have adopted e-commerce (EC) in their operations and have reaped benefits thereof. While firms in technologically developed countries like US and UK has deployed EC to its advantage, whereas firms in developing countries like India failed to follow the suit. Though it has been widely acknowledged by the researchers that the adoption of EC by businesses in developing countries is an important economic indicator of growth; many firms in India still have not realized the potential benefits of EC. This study examines the existing status of EC in India and reviews the available literature on E-commerce adoption in India and puts forth opportunities for future research. The study might serve as a starting point for further research in e-commerce in India. © Springer Science+Business Media, LLC 2010.

Saravanan D.,IFHE Hyderabad
Procedia Computer Science | Year: 2016

A video is an effective tool to exchange the information in the structure of showing the brief text message due to the advance developed technology. Video capturing is effortless process but the related video retrieval is the difficult process, for that process the videos must be indexed. Retrieval is the method that retrieved a video using a user query. The query will be image or texts depend upon the query result output system that returned a particular video or image based on that query. In this project we create a indexing for video file by using segment based indexing technique. Here video will be divided into a hierarchy which is in storyboards of film making. For instance, a hierarchical based video search is composed into multi stage abstraction for assist the users to locate the specific video segments/frames logically. This paper brings out the reduced bandwidth and reduced delays the video through the network of searching and reviewing. Experimental results verify this. © 2016 The Authors.

Balaji M.S.,IFHE Hyderabad | Chakrabarti D.,IFHE Hyderabad
Journal of Interactive Online Learning | Year: 2010

The present study contributes to the understanding of the effectiveness of online discussion forum in student learning. A conceptual model based on 'theory of online learning' and 'media richness theory' was proposed and empirically tested. We extend the current understanding of media richness theory to suggest that use of multiple media can enrich the communication context and perceived learning. Hierarchical regression was applied to investigate the relationships between antecedent factors, interaction and perceived learning. The results show that the perceived richness of online discussion forum has significant positive effect on student participation and interaction, and learning, when used along with traditional classroom lecture. Implications of these findings are discussed as they provide important guidelines for management educators.

Swamy V.,IFHE Hyderabad | Dharani D.,IFHE Hyderabad
Agricultural Finance Review | Year: 2016

Purpose – The global demand for food is expected to increase by 60 percent by 2050 when the world’s population reaches 9.1 billion. To meet this challenge significant investment in the agricultural sector is required to embrace innovative financing mechanisms that can benefit sustainable agricultural development, food security and nutrition. The purpose of this paper is to analyze the agricultural value chain (AVC) financing approaches and tools in India. It presents a proper understanding of the different case studies of Indian AVC financing models and related instruments. It also offers some useful recommendations to improve their efficiency. Design/methodology/approach – The authors employ the multiple case studies approach to research which allows for a purposive sample and the potential for generalizability of findings. This provides a more rigorous and inclusive approach than a single case study research due to the triangulation of evidence. Subsequently, the authors offer an explicit description of AVC financing models. In the next phase, a thorough assessment of these models is made. Finally, the authors formulate some useful policy recommendations based on the findings of the analysis. Findings – There is a need to review the value chain models that exist in the context of – lead actors, business model and sustainability strategy. Determining actual and critical points of finance such as the current flows of funds and their sources of financing, what is needed and in what point in time is significant to enhance the effectiveness of the models. Further, there is a need to analyze and compare financing options such as their relative strengths, risks and costs of financing for each level of participant in the chain. The authors observe that rather than investing in one component of the chain, the financial institution can grow expertise in the chain, share this knowledge and provide financing to support services. This not only benefits clients, but also expands lending opportunities while lowering the risks. Research limitations/implications – The study primarily focusses on AVC financing approaches and tools in India and attempts to analyze the inadequacies in the value chain models. The case study approach is adopted as the accurate data on value chain financing are not available for the analysis. Practical implications – The study has come out with the following policy recommendations: the governments (union government as well as state governments) – in partnership with the private sector need to spearhead and develop measures aimed at making the operation of the value chain efficient, fair, profitable and sustainable; governments have to focus on creating an enabling policy and regulatory environment and, providing the necessary support services in order to attract more investments. These will lower the transaction costs, facilitate the smooth flow of finance along the chain and ultimately increase value-added; financing for processing and marketing is particularly crucial for growth and expansion of the chain; bank finance should not be limited to short-term production loans, but also include big-ticket loans with longer maturities to finance investments in farming equipment and machinery, transportation, storage, mills and other processing/post-harvest facilities. Originality/value – This study is the first of its kind as it is based on a multiple case studies approach in understanding and analyzing the efficiency and effectiveness of AVC financing models in India by evaluating eight of such models. Besides, it offers quite useful policy recommendations to improve their efficiency. © 2016, © Emerald Group Publishing Limited.

In this paper we have presented a research for de-noising the EEG collected Brainstem Speech Evoked Potentials data collected in an audiology lab in University of Ottawa, from 10 different human subjects. Here the de-noising techniques we have considered are Yule-Walker Multiband Filter, Cascaded Yule-Walker-Comb Filter, Conventional Wavelet Transform estimation filters: Daubechies, Symlet, Coiflet Wavelet families, Translation Invariant (TI) Wavelet Transform estimation filter, FAST Independent Component Analysis (FASTICA) De-noising Technique, Combined algorithm of "Translation Invariant (TI) Wavelets and Independent Component Analysis" De-noising technique. The performance measures we have considered are Mean Square Error (MSE) and Signal-to-Noise-Ratio (SNR) values. Out of these techniques we found that cascading of Yule-Walker filter and Comb-Peak filter gave better De-noising performance than Yule-Walker Multiband Filter. Then conventional Wavelets performed far better than the cascaded filter, in those Daubechies family of wavelets worked better than all. Then FASTICA Algorithm worked near to the performance of Conventional Wavelets but far better than cascaded filter. Then we have utilized Translation Invariant (TI) wavelet algorithm which provided the excellent performance than above all. Then we have utilized combined Algorithm of "Translation Invariant (TI) Wavelets and Independent Component Analysis - CSTIICA" algorithm which found to be, it may perform better than TI wavelets algorithm. Ultimately TI and CSTIICA algorithms are found to be may be the best auditory artifact removal techniques and can be highly useful in auditory EEG data analysis to the best. © 2015 The Authors.

Girish G.P.,IFHE Hyderabad | Vijayalakshmi S.,IFHE Hyderabad
Lecture Notes in Electrical Engineering | Year: 2014

Spot Electricity price in a competitive electricity market is determined by the intersection of total demand curve (constructed from aggregated demand bids) and total supply curve (constructed from aggregated supply bids) for a particular hour for each region of the electricity market as bidded in a power/energy exchange. Spot electricity price curve usually exhibit characteristics such as multiple seasonality, volatility, mean reversion and are often characterized by jumps or spikes. In this study we review short term spot electricity price modeling and forecasting techniques inspired by financial econometric literature, electricity spot price pre-processing techniques used and the determinants of spot electricity price in a competitive power market. We also investigate the dynamics of spot electricity prices of Indian Electricity market which has never been done before. The results of the study provide crucial insights for pricing electricity derivatives which will be introduced shortly as announced by Indian Energy Exchange in Competitive Indian power market. © 2014 Springer-Verlag Berlin Heidelberg.

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