Intelligent lighting control systems for greenhouses
The project will develop an intelligent control system to optimize the operation of lighting systems in greenhouses with a high
The project will develop an intelligent control system to optimize the operation of lighting systems in greenhouses with a high
Overview: An IoT-driven EMS in southern Sweden connects solar panels and battery storage via Milesight hardware and LoRaWAN, improving efficiency and reliability for a local energy provider.
Understand how smart grid technology is transforming Sweden''s energy landscape. Explore benefits for consumers, real-time monitoring capabilities, and integration with
Our research aims to develop an intelligent control system for optimizing the operation of lighting systems in greenhouses with a high proportion of local renewable energy using adaptive
Our research aims to develop an intelligent control system for optimizing the operation of lighting systems in greenhouses with a high proportion of local renewable energy using adaptive
Understand how smart grid technology is transforming Sweden''s energy landscape. Explore benefits for consumers, real-time monitoring capabilities, and integration with
FerroAI controls solar production, battery storage and electric car charging based on spot prices, weather forecasts, grid charges and your own energy usage – completely
Founded in Sweden in 2022, Qurrent has developed an AI-based platform that connects and optimizes decentralized assets such as solar PV systems, battery storage, and
SOLVE is a consortium of universities, companies and public sector organisations that work together on research projects. The goal of SOLVE is rapid expansion of solar energy in the
FerroAI controls solar production, battery storage and electric car charging based on spot prices, weather forecasts, grid charges and your own energy usage – completely
The aim on this project is to study the implementation and optimal operation of turnkey solutions involving solar PV coupled to energy storage systems (PV-ESS).
The aim on this project is to study the implementation and optimal operation of turnkey solutions involving solar PV coupled to energy storage systems
The project will develop an intelligent control system to optimize the operation of lighting systems in greenhouses with a high proportion of local renewable energy using
SUNSETS will develop and demonstrate innovative solutions and technologies, enabled by digitization, for a solar photovoltaic (PV) -dominated near zero energy building (NZEB) -based
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