Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools—algorithms, machine learning, sensors—are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems.
Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun. Energy managers are finding it difficult to manage their expanding solar fleets, which often involve different types of equipment, installers, geographies and inverter and monitoring software. Collecting data from such diverse sources and translating it into actionable operations and management (O&M) commands can be time-consuming and expensive for even the most experienced energy teams.
Digitization is a trend that can have a major impact on every industry in every region. Its direct benefits include reduced costs, increased revenue and growth. With the energy industry undergoing a fundamental transformation, digitization could be key to greater productivity, efficiency and flexibility. We are now transitioning from a centrally organized world of power generation into a system of diverse and distributed generators.
Energy4All Ventures Limited is set to cover all aspects of big data and its impact on the solar sector as well as identifying issues and challenges and providing potential solutions. It’s a great opportunity for industry professionals to come together to exchange the ideas, explore new thinking and help shape the development of the industry.
Artificial Intelligence (AI) and automation, data-driven monitoring and inspection, predictive maintenance, and using advanced analytics to reduce costs and drive performance. We explore new thinking and help shape the development of the solar sector. solar PV big data and IoT Digital Twin technology with AI, thefts in big solar PV plant, Advanced Control System Software to improve energy trading, carrying out predictive maintenance for photovoltaic inverters using data analytics and AI. We will be uncovering performance gaps of PV plants with automated data analytics. We have yakenn6 deep look into technical risks and failures and corresponding mitigation and costs and limitations and challenges of data-driven risk analysis.