Solar Power System for SkyRose Ranch

SAN MIGUEL, Calif.—June 29, 2017—Helio Energy Solutions announces the successful completion of a 215.7 kiloWatt (kW) DC commercial photovoltaic system at the Southern California facility of SkyRose Ranch.  The 215.7kW system is augmented with PredictEnergyTM commercial energy management software. The cloud-based software provides real-time energy data with cost analysis capabilities to support SkyRose’s efforts to reduce their electricity consumption and energy costs. PredictEnergy™ helps ranch management optimize energy production and minimize the impact of peak electrical demands.

skyrose ranch solar power systemSkyRose Ranch is a homestead of 20,000 acres where they raise natural fed cattle, produce alfalfa, cultivate grain-hay and sponsor veterans’ programs through Serving California. (WWW.SERVINGCALIFORNIA.ORG) The installation used 1,014 Solar PV modules with 9 Three Phase Inverters, which powered 3 main areas of the site including: Agriculture (AG) pumping and ranch facilities.

“We selected Helio Energy Solutions because of the company’s long-standingSkyRose Solar Power reputation for delivering safe, high-quality and reliable products.” Said Rick Scantlin, SkyRose Ranch Manager. “SkyRose is one of the largest privately owned agricultural organizations in California. Our investment in solar energy is a great example of employing a sustainability strategy that reduces electricity consumption throughout our business.”

skyrose ranch solar power system in san miguelSolar PV can dramatically offset the need for utility supplied energy, however, in SkyRoses’s case, there was no way of knowing how well the remote systems were working and producing. By combining PredictEnergyTM with solar PV, and utilizing satellite based communications at the remote installations, SkyRose Ranch can now quantify and record system performance. PredictEnergyTM enables SkyRose Ranch to visualize operations from a cost perspective by supporting key business performance indicators. Facility operator’s control of the business is enhanced with greater efficiency and reliability, thus, becoming a natural extension of sustainable value, clean energy sources and reduced carbon emissions.


“Through high-level performing Solar PV modules and the PredictEnergyTM energy software, SkyRose Ranch can quantify and optimize energy costs.” said Mike Murray, Director of Commercial Operations, Helio Energy Solutions. “This project demonstrates that our distributed generation strategies and predictive analytic tools work together to maximally reduce operational costs at SkyRose Ranch.”


About SkyRose Ranch LLC

SkyRose Ranch is in central California, 100 miles north of Santa Barbra and 80 miles south of Salinas. We are just 7 miles outside of the small town of San Miguel. SkyRose Ranch is stretched between Indian Valley and Vineyard Canyon towards Parkfield, and the landscape expresses many different terrains that range from Alfalfa and grain hay covered flats, to gentle rolling hills dotted with several varieties of oak woodland. For more information, visit:


About Helio Energy Solutions, Inc.

Helio Energy Solutions Energy Solutions is an integrated energy solutions company based Murrieta, California. The company helps its clients reduce energy costs and develop energy assets by leveraging renewable energy production, demand side management, and return on investment strategies for clients in the U.S. and abroad. Helio Energy Solutions employs a diversified approach to providing renewable energy technologies and load reduction expertise. Because needs can vary greatly among energy consumers, Helio Energy Solutions is committed to helping its clients understand their unique energy challenges to deliver customized, cost-effective services and products to reduce energy costs.  For more information, visit:

The PredictEnergyTM commercial energy management system (EMS) provides distributed energy resource (DER), load center and power quality monitoring, energy analytics and energy asset management. For more information, visit: