MachinePulse to speak at Swatantra 2014 – ICFOSS

MachinePulse Software Developer and IoT wizard, Anand George, will be speaking Swatantra 2014 – Fifth Annual International Free Software Conference taking place from December 18-20, 2014 at Hotel Hycinth in Thiruvananthapuram, Kerala. The theme of the Conference is ‘Free Software for a Free World’. Anand will be speaking on the topic ‘Building Blocks for an Open Source Cloud Internet of Things (IoT) Platform’ on December 20.

The Conference will host about 150-200 Free Software enthusiasts, including practitioners, developers, researchers, academics, students, as well as representatives from civil society institutions, industry and the Government are expected to participate in the three-day conference.

About MachinePulse
MachinePulse™ is an Internet of Things platform provider based in Mumbai. The big data platform, erixis™, has in-built machine learning and predictive analytics capabilities. MachinePulse is based in Mumbai, India with branch offices in Chennai and Bangalore. Contact us to learn more.

MachinePulse to demo SolarPulse at IIT-Bombay on Nov. 28, 2014

Posted by MachinePulse Tech Pvt. Ltd.

MachinePulse will give a live demonstration of SolarPulse at IIT-B on Nov. 28, 2014

MachinePulse will host a live demonstration of SolarPulse, our solar power plant remote monitoring and control solution, on November 28, 2014 at IIT-Bombay’s campus as part of a short-term course entitled ‘Solar PV Modules and System Testing and Characterization’. The three day course is jointly organized by the Continuing Education Program of IIT Bombay and the National Centre for Photovoltaic Research and Education (NCPRE).

During the period of this course, students will be given the opportunity to visit the 1 megawatt (MW) solar photovoltaic (PV) plant installed at the IIT-Bombay campus. Niketan Shitole, System Integration Engineer at MachinePulse will guide students through the different components of the 1 MW solar power plant. After the plant visit, Niketan will host an exclusive live demo of SolarPulse by logging into IIT-Bombay’s 1 MW solar power plant account. During this live demo, students will view the plant’s live generation and performance data. Niketan will also explain the parameters used to measure a solar power plant’s performance, track past performance and the process followed to respond to plant related alerts and alarms. Students will also be introduced to iceBOX™, MachinePulse’s smart hardware device that collects the data generated from solar power plants, aggregates it and sends it to the server where it is analysed and the end result is presented on the SolarPulse dashboard.

The course begins on November 26, 2014 and ends on November 28, 2014. On completing the course, students can expect to gain an intermediate level understanding of test and characterization techniques, the types of solar photovoltaic (PV) modules, balance of systems components, PV systems and the technical complexities of a solar PV remote monitoring and control software.

To learn more about the event please click here to visit the NCPRE site.

SolarPulse can increase returns on your solar power plant investments [Infographic]

Posted by MachinePulse Tech Pvt. Ltd.

SolarPulse by MachinePulse has been ranked the fastest growing solar remote monitoring vendor in India

Posted by MachinePulse Tech Pvt. Ltd.

SolarPulse has been ranked the fastest growing solar monitoring vendor in the India in a research report ‘Global PV Monitoring: Technologies, Markets and Leading Players, 2014-2018‘ by Green Tech Media (GTM) Research and SoliChamba Consulting.

SolarPulse is a software solution offered by MachinePulse for the solar photovoltaic market spanning the industrial, commercial and utility sectors. The GTM Research and SoliChamba Consulting report notes that in 2013, MachinePulse increased its fleet size by 5000% adding 55 MW to its existing fleet. MachinePulse’s notable growth can be largely attributed to SolarPulse, its advanced analytics solution that improves the efficiency of solar projects and reduces its customers clients’ operations and maintenance costs. The solution processes large amounts of data, extracting more than 50 million points from its installations daily.