NextNRG Inc. (NXXT) Unveils RenCast for Solar Energy Forecasting

NextNRG Inc. (NASDAQ:NXXT) is one of the green energy stocks with long-term upside potential. On August 26, the company unveiled RenCast, a patented solar energy forecasting platform. It is designed to address cost and reliability challenges in solar power generation.

NextNRG Inc. (NXXT) Unveils RenCast for Solar Energy Forecasting

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RenCast combines machine learning with physical photovoltaic modeling to provide solar PV forecasts and 15-minute resolution of up to seven days. It can also operate in cloud-only mode, using modeled data, or in hybrid mode.

The platform can analyze weather patterns, equipment characteristics, and operational variables to provide forecasting data for operators, traders, and energy managers. It’s also designed for commercial, industrial, utility-scale, and residential applications, scaling from single installations to multi-site portfolios.

“By combining AI-powered machine learning with physical PV modeling, we’re delivering the site-specific accuracy that energy professionals need to optimize operations and maximize returns,” said Michael D. Farkas, Executive Chairman and CEO of NextNRG.

The new platform expands NextNRG’s technology portfolio beyond mobile fuelling operations and smart microgrid solutions.

NextNRG Inc. (NASDAQ:NXXT) is an energy technology company focused on developing an integrated ecosystem for renewable energy and transportation. It utilizes artificial intelligence (AI) and machine learning (ML) to manage solar power generation, battery storage, wireless EV charging, and on-demand mobile fuel delivery.

While we acknowledge the potential of NextNRG Inc. (NASDAQ:NXXT) as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than NXXT and that has 100x upside potential, check out our report about the cheapest AI stock.

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Disclosure: None. This article is originally published at Insider Monkey.