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FOLSOM, Calif. & EL CENTRO, Calif.--(BUSINESS WIRE)--As of April 3, 2017, ZGlobal Inc. Power Engineering and Energy Solutions (“ZGlobal”) has begun providing Silicon Valley Clean Energy (“SVCE”) with alternative energy services, resulting in the successful launch of SVCE’s Community Choice Aggregation (“CCA”) operations. ZGlobal provides SVCE 24/7 operation services enabling 100% Carbon Free Electricity. “We are very pleased to leverage our decades of experience to provide SVCE with value-added services at competitive prices,” stated Kevin Coffee, Vice President of Electric Operations at ZGlobal, and a veteran of Electric Operations at Pacific Gas and Electric (“PG&E”). SVCE is a Community Choice Energy (CCE) provider, whose purpose is to pool the electricity demand of its residents and businesses and buy carbon free power on their behalf outside of their local utility. SVCE is encouraging a type of competition that could result in additional utilization of renewable and carbon free energy sources at more competitive rates. “With partners such as ZGlobal, Silicon Valley Clean Energy customers will get the same reliable service they are used to, and 100% carbon-free electricity at competitive prices,” said Tom Habashi, CEO, SVCE. Silicon Valley Clean Energy is a community-owned agency servicing the majority of Santa Clara County communities by acquiring clean, 100% carbon-free electricity on behalf of residents and businesses. As a public agency, net revenues are returned to the community to keep rates low and promote clean energy programs. Member jurisdictions include Campbell, Cupertino, Gilroy, Los Altos, Los Altos Hills, Los Gatos, Monte Sereno, Morgan Hill, Mountain View, Saratoga, Sunnyvale and the unincorporated areas of Santa Clara County. SVCE is guided by a Board of Directors, which is comprised of a representative from the governing body of each member community. With Silicon Valley Clean Energy, residents and businesses in our communities will join thousands of Californians in choosing clean power at competitive rates. For more information please visit SVCleanEnergy.org. ZGlobal offers a wide range of services in the energy sector, including round-the-clock scheduling and operation services, in addition to reliability/compliance services for green energy such as solar, wind, energy storage, geothermal, and biomass facilities, CCAs and utilities throughout the western United States. ZGlobal manages over 12,600 GWh of energy annually and over 3,000 MW peak from California, Arizona, Nevada, and Utah with a transaction value exceeding $320 million. ZGlobal was formed in 2005 and is staffed by veterans from the California Independent System Operator (CAISO) as well as various western utilities. The group is led by Ziad Alaywan P.E., who served as the Manager of PG&E real time operations. As one of the first employees that led the rapid implementation and operation of the CAISO in 1998, Mr. Alaywan later became CAISO’s Managing Director of Grid and Market Operations. More information is available at www.zglobal.biz.


Joshi G.,SVCE | Rajendra Prasad P.,SVCE | Singh A.,SVCE
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

Experimental realism of wireless testbeds along with control and repeatability of experiments are some of the prominent fundamental barriers faced by researchers. To overcome these barriers, we are developing a wireless channel emulator that emulates the physical layer and brings about the realism and repeatability in our experiments.Channel emulators are generally used for testing air interface in Wireless Communication. In a laboratory test environment channel emulators replicate real world communication channel that exists between a transmitter and a receiver, it does so by providing a faded representation of the signal transmitted by the transmitter to the receiver inputs. It can be seen that emulator based approach helps us in understanding the performance of real world wireless channels. It also enables us to test our research in an operational wireless network, along with the advantages of a controlled experimental lab environment. © 2016 IEEE.


Lakshmaiah K.,JNTUH College of Engineering | Murali Krishna S.,SVCE
2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 | Year: 2017

We propose a novel neural-network based model for predicting rainfall in any given city in India. Our initial implementation primarily focuses on a rural city in Bihar, a state which experiences erratic rainfall behavior. We start with simpler models based on time-series analysis and linear regression, ultimately combining them using a novel look back-window method. The initial results are promising and comparable with the state-of-the-art methods published in this domain. It is conjectured that atmospheric pressure and winds are highly correlated to rainfall, and we are trying to obtain data for the same to use in our model. In addition, we wish to extend the work to predict droughts as well. Observing and analyzing the changes in the crop yield based on the precipitation is also something we intend to do. India is so powerless against environmental change is on the grounds that it is a vast nation with numerous living in destitution, deficient base, and is subjected to unpredictable rainstorm, flooding, rising ocean levels, and higher temperatures. The rainstorm season is essential to the Indian economy in light of the fact that numerous Indians are agrarian. Thusly India's rainstorm will radically influence the destiny of the agrarian segment and the general population dependant on it. Environmental change is going to keep on creating whimsical extremes all through the storm season. Readiness for climate inconsistencies achieved by environmental change is along these lines key to ensure the lives of the Indian individuals and the development of the Indian economy. © 2016 IEEE.


Parvathi C.,DBIT Inc | Suresha,SVCE
Advances in Intelligent Systems and Computing | Year: 2017

The area of Wireless Sensor Network (WSN) has witnessed various research contributions in the past decade for mitigating the issues of energy dissipation to ensure energy efficient routing and clustering. It was found that the existing technique doesn’t have productive supportability towards addressing the energy efficiency as well as enhancing clustering performance in WSN. Hence, this paper presents a novel idea where the energy efficiency as well as clustering optimization was carried out by incorporating the selection mechanism of nodes. The paper also discusses the architecture and algorithm of the proposed technique with briefing of methodology that was adopted to accomplish the work. Finally, the paper exhibits the outcomes of the study very discretely and highlights the better clustering perspective of performing benchmarking the technique with existing standards. © Springer International Publishing AG 2017.


Soni M.,SVCE | Joshi B.K.,MCTE
Proceedings of 2016 International Conference on ICT in Business, Industry, and Government, ICTBIG 2016 | Year: 2017

Mobile Ad-hoc Network (MANet) is a set of wireless mobile nodes forming flexible networks, thus they do not need infrastructure and central access points. With increase in the use of Mobile Adhoc Networks security became an essential requirement due to its dynamic topology, limited processing capacity, bandwidth limitations, high bit error rate etc. To provide secured communication among mobile nodes, there is a need to build multi fence security and routing solutions to overcome these challenges. In this paper, we present security analysis of routing protocol in general and Adhoc On demand Distance Vector in particular under different type of attacks. © 2016 IEEE.


Syed Vasiyullah S.F.,AMSCE | Gopalakrishnan M.,SVCE
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

Unit commitment in the power system schedules on/off states of generating unit that minimize the total fuel cost. In PBUC, the objective is to maximize the profit of the GENCO in the deregulated environment. In deregulated environment, GENCO's works on the bases of forecasted demand, reserve and price where the objective is to maximize their profit. The proposed method uses payment for power delivered and reserve allocated to solve PBUC problem. The proposed approach has been tested on 3 units system. The results of the proposed method have been compared with traditional unit commitment. © 2013 IEEE.


Birchha V.,SVCE
Proceedings - 2014 6th International Conference on Computational Intelligence and Communication Networks, CICN 2014 | Year: 2014

Pioneering approaches that are effectual and conducive involved in the retrieval of information accessible on the World Wide Web. The distinct features can be used for the retrieval process, but the problem is to how to integrate the feature values. The peculiar features such as texture and color are used for exhibiting the content of an image. In this paper, we introduce a Wavelet and Gabor based Image Retrieval (WAGBIR) system, a Neural Network based architecture for content based image retrieval. This technique uses wavelet transform and Gabor filters features for repository image representation. To enhance factual resemblance match between images Back Propagation Neural network (BPNN) is presented, which guarantees the retrieval of images in an efficient way. To elaborate the effectiveness of the presented work, the proposed method is compared with several existing CBIR systems, and it is proved that the proposed method has performed better than all of the comparative systems. © 2014 IEEE.


Shoba M.,SVCE | Suresha,SVCE
Proceedings of the 2015 International Conference on Green Computing and Internet of Things, ICGCIoT 2015 | Year: 2015

With the current progress in communication technology, Wireless Sensor Network (WSN)s are extensively setup for plethora of applications such as defense, intelligent transportation systems, healthcare and many more. The limitation of sensor node is in terms of resources namely storage, power, processing potential and communication range. For the sensor network to be operational an efficient routing algorithm to forward the arriving packets is essential The data transferred by the nodes will be redundant in most of the scenarios. Selecting the optimal route for data transmission is one of the vital factors from the perspective view point of a routing protocol In order to eliminate the redundancy of data and to enhance the QoS parameters, Statistical Ad-hoc Ondemand Distance Vector (S-AODV) routing protocol is proposed in this paper. This new protocol is analyzed with respect to each layer by taking QoS metrics and statistical parameters in to consideration. A comparative study reveals that the proposed protocol performs better than the present AODV protocol. © 2015 IEEE.


Divya M.,SKR Engineering College | Janet J.,SVCE | Suguna R.,SKR Engineering College
Eurasip Journal on Image and Video Processing | Year: 2014

Telemedicine integrates information and communication technologies in providing clinical services to health professionals in different places. Medical images are required to be transmitted for diagnosis and opinion as part of the telemedicine process. Thus, telemedicine challenges include limited bandwidth and large amount of diagnostic data. Content-based image retrieval is used in retrieving relevant images from the database, and image compression addresses the problem of limited bandwidth. This paper proposes a novel method to enable telemedicine using soft computing approaches. In the present study, images are compressed to minimize bandwidth utilization, and compressed images similar to the query medical image are retrieved using a novel feature extraction and a genetic optimized classifier. The effectiveness of compressed image retrieval on magnetic resonance scan images of stroke patients is presented in this study. © 2014 Divya et al.; licensee Springer.


Arockia Selvakumar A.,Vellore Institute of Technology | Arul Kumar M.,SVCE
Procedia Engineering | Year: 2014

Parallel manipulators (PMs) have been the subject of study, of much robotic research during the past three decades. A parallel manipulator (PM) is a closed loop kinematic chain mechanism, that is connected to the base via multiple independent chains. The scope of this research work is to perform the position analyses of the three degrees of freedom PMs (TRIPOD and TRI-GLIDE). The present work has been planned to model the parallel manipulators using the screw joints for very accurate positioning. Experiments were conducted for the position analysis and the angular tilt of the mobile platform along x-axis and y-axis and they were found by actuating the links of the manipulators. In order to confirm the results obtained by the experimental method, ADAMS was used for solving the kinematic problems involved. The Tri-Glide and Tripod manipulators were created in ADAMS based on the fabricated models. The models were simulated for the displacement of the nut and the angle of tilt / rotation of the mobile platform about the x and y axes. The results obtained by the three methods are discussed and analyzed. In a conventional drilling machine, drilling an angular hole requires special fixtures for each specific angle. In the present work, the parallel manipulator mechanisms have been modified to an angular drilling machine, for performing angular drilling operations. © 2014 The Authors.

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