Software & Algorithms

EPRA’s Software & Algorithm solution provides cutting-edge software solutions and algorithms for businesses in the power sector.

Representatives: Our team of software representatives provides expert support for a range of industry-leading software solutions, including DIgSILENT PowerFactory and OPAL-RT. Our representatives have in-depth knowledge of these software solutions and can provide tailored support and advice to help businesses make the most of their software investments.

Development: Our team of software developers provides custom software development services to help businesses in the power sector meet their unique needs and requirements. This includes developing custom algorithms and tools to help businesses improve efficiency and drive innovation in their operations.

Web-Services: EPRA offers web-based services to support businesses in the power sector. Our Market and Network Simulation tool provides real-time simulation of market dynamics and network behavior, allowing businesses to test and validate their strategies and make informed decisions. The Optimum PV Location and Reactive Power Support (HASAT) platform provides advanced analysis and optimization of photovoltaic systems, helping businesses to find the best possible location for their installations and optimize their operations.

With EPRA’s Software and Algorithm solution, businesses in the power sector can benefit from access to cutting-edge software solutions and algorithms, tailored to their specific needs and requirements. This helps to improve efficiency, drive innovation, and support the growth and success of businesses in the power sector.

Software & Algorithms | Sectors

Power Generation
Power Transmission & Distribution
Electricity Markets
Smart-grids & Micro-grids
Renewable Energy

Highlighted Projects | Software & Algorithms

Highlighted Publications | Software & Algorithms

Enlightening customers on merits of demand-side load control: A simple-but-efficient-platform
Authors: Teimourzadeh, Saeed, Osman Bulent Tör, Mahmut Erkut Cebeci, Adela Bâra, Simona Vasilica Oprea, and Sabri Murat Kisakürek.
Year: 2020
Published on: IEEE Access 8 (2020): 193238-193247