Mada Analytics

The global energy market relies in the last decade on green/renewable energy sources more than ever, but according to the latest report by the International Energy Agency, the global capacity to actually generate such energy is still developing too slowly and is not able to provide the required energy volumes, in order to successfully meet the global goal: production of 50% of all electricity by sustainable means of production, by the year 2030.

In this report, the agency emphasizes the importance of integrating diverse renewable energy (VRE) technologies, including wind and solar systems, as they are crucial in order to reduce the carbon emission caused by the energy market while meeting the growing global demand for energy. The agency sees VRE tech as an essential and economically viable tool for this purpose, but in order, for it to become a major means of energy production.  The report mentions that substantial reforms are needed, to improve and enable long-term planning and design of these systems (as opposed to real-time field activity only). Along with a need for means to allow systems flexibility with accurate financial analysis planning, a critical tool for investors and banks as well, is needed to predict economic performance, and allow improved financing conditions.

One of the major challenges facing renewable energy projects is their inherent dependency on weather conditions, which are not fully controllable or predictable - and of course present a challenge for investors, who cannot rely on stable financial forecasts when entering this market. Another related issue is the tendency of banks to view these ventures as potentially higher risk and accordingly - making it more difficult for projects to be granted better funding conditions. Another deep need arises from the lack of dedicated analytics and management tools, which will enable active management performance and reduce inactive times, lowering maintenance costs and extending the duration of use of facilities.

These statements by the IEA are supported by industry leaders and global financial institutions, all confirming the agency's forecasts and emphasizing the deep need for improved analytical tools, including financial and production forecasts to enable the field of renewable energy systems to reach its full potential, both in terms of energy production volume and meeting the targets for global sustainable energy production, as well as in terms of the investments made in the field, which of course determine its pace and scope of growth.

The Solution

To meet this crucial need, MADA Analytics harnesses its analytical capabilities and many years of experience in the fields of renewable energy and financing, in order to develop an artificial intelligence-based system - MEPS - which offers companies optimal strategic planning tools for renewable energy production, while maximizing the financial aspects of such projects.

MADA's groundbreaking AI technology solves this deep need by providing a first-of-its-kind platform for accurate financial forecasts, with profit maximization capabilities, minimizing the risks involved in renewable energy projects, adjusting insurance accurately to ensure cash flows, and streamlining energy storage systems.

The system developed by the company will maximize from the early project planning stages, all financial aspects, risk management, pricing, etc. - to ensure the best financial results and economic forecasts, which are currently impossible to produce with existing tools available in this market. The company's technology will enable the planning of all operational aspects and their implementation under AI-based algorithms, with the ultimate goal of meeting financial targets, and not just "blindly" producing energy, as currently done.

Utilizing MEPS will enable companies and projects to optimally plan their venture in terms of financial structure, and provide CFOs with tools for comparison and evaluation, along with monitoring and reporting systems with real-time field data, operational recommendations, storage, and analysis.

Among other things, the system will enable companies and projects to optimally plan their venture in terms of financial structure, provide CFOs with tools for comparison and evaluation, along with monitoring and reporting systems with real-time field data, operational recommendations, storage, and analysis for all relevant big data and more.

Technology

MADA's MEPS platform is based on AI and analyzes data from millions of simulations of renewable energy projects (REP) which it creates, in order to gain statistical insights that are fed into the MEPS AI system, in order to generate an output of optimal solutions for each and every project.

Once the system has finished analyzing the project and the financial parameters of critical impact, it provides an optimal design and execution plan, focuses on and identifies the optimal scenario based on the existing analyzed data, to maximize financial profits as much as possible.

The MEPS platform will provide users with various recommendations, including:

• Optimal system configuration in terms of capacity, size and duration of operation of the power storage system
• Optimal financial pricing in order to meet financial goals
• Optimal timing and schedule for energy storage throughout a year of operation
• Optimal financial model for each project (debt/equity balance) and more
• Detailed simulation of energy production and corresponding accurate financial insurance solutions
• Streamlined project financing integration
• Optimal AI-based operational and investment planning for the highest returns and lowest risk, based on accurate cash flow data and planned energy storage systems data

The platform's technological tools include, among others:

• AI optimization tool based on MIMO models (multi inputs - multi outputs) for optimizing the volume of activity and financing, based on real data
• AI simulator based on the company's IP - deep dynamic processing algorithm
• Decision support system (DSS)
• A monitoring and reporting mechanism to allow all stakeholders to compare forecasts with actual performance
• A tool for developing new or existing hybrid projects - shortening planning and execution timelines

MADA's technology is developed in complete and tight-knit cooperation with the UK branch of RINA - an international company that specializes in providing engineering and financial consulting for renewable energy projects around the world. As part of this collaboration, MADA will receive real, up-to-date wind data from existing projects supported by RINA, from the system called Wind Optimum, designed for classifying and processing operational data from wind-based projects for future performance forecasts, in parallel to the MEPS system developed by MADA.

The companies are working towards integrating the two systems into a combined platform (MARICube) that will be marketed to RINA's customers in the UK and around the world.

Intellectual Property

MADA Analytics will maintain ownership of all IP related to its MEPS software development, including its simulation and optimization algorithms, while RINA will maintain ownership of the performance data and IP pertaining to its RINACube and Optimum Wind platforms.

Regarding ownership of the MARICube IP, the signed Commercial Collaboration agreement between the parties defines that the results jointly achieved by both parties will be co-owned by the parties. The full ownership and related rights will be assigned as a percentage relative to the contribution respectively provided by each party. MADA will pay royalties to IIA from the sales of MEPS in the framework of MARICube's commercialization. MADA's subcontractors will not own any of the IP developed for this project.