Anastasis has a background in Electrical and Computer Engineering and extensive experience in renewable energy markets, project management, and data-driven solutions. With a vision for sustainable energy solutions, Anastasis leads the company’s strategic direction, partnerships, and product development to drive impactful innovation in the renewable sector. His expertise in the field of data science and energy engineering underpins the company’s offerings in predictive solar radiation and energy optimization tools.
Peter brings deep technical expertise to the company, with a strong background in Electrical and Computer Engineering and scalable infrastructure. He oversees the development and technical implementation of the company’s advanced forecasting and optimization algorithms. Peter’s contributions ensure that the software is robust, user-friendly, and can support renewable energy operators in critical decision-making. His prior work in energy management companies has been instrumental in shaping the technology that underpins the company’s solutions.
Faysal is a data scientist with specialized skills in time-series forecasting and predictive modeling, essential for accurate energy demand and solar radiation predictions. He holds a background in statistics, data science, and applies advanced statistical techniques and machine learning models to enhance the software’s forecasting capabilities. Faysal’s contributions focus on improving model accuracy, efficiency, and adaptability, which play a critical role in enabling users to make data-informed decisions in real time.
The term electrical energy storage encompasses all mechanisms contributing to the absorption of electrical energy and its subsequent return to the electrical system [1]. Their utility arises from various factors, including effective management of situations with increased renewable energy production and its temporal misalignment with demand, observed in high-penetration renewable energy systems. Their positive impact extends to daily energy markets, mitigating price fluctuations. Furthermore, they can provide solutions to the persistent and worsening issue of network congestion by offering regulation (frequency) and control (voltage) services. Additionally, the environmental friendliness of these technologies cannot be overlooked, given their reduced consumption of fossil fuels, resulting in lower emissions.
In conclusion, the development of such technologies allows for the enhancement of renewable energy penetration levels, contributing to the effort to disentangle electrical systems from conventional generation stations. Their positive impact is evident both economically, as the costly operation of conventional units is curtailed, and environmentally, by reducing the reliance of each electrical system on fossil fuel consumption.
