The role of emerging technologies in the future of energy sector

Together, they are enabling the evolution from the current concept of a “Smart Grid” to a truly “Intelligent Grid”—a system where grid components communicate autonomously, self-optimize in real time, and operate with minimal human intervention to achieve peak efficiency within physical and environmental constraints. Iskraemeco is proud to be an active contributor to this transformation. With a strong legacy of innovation and a forward-looking strategy, we are integrating these technologies into our products, platforms, and internal processes. Our goal is clear: to help shape a digital energy ecosystem that is not only intelligent, but also sustainable, secure, and future-ready.

Blockchain

Enabling decentralized energy markets

Blockchain, as an alternative to a traditional transaction system, is a decentralized digital ledger that records transactions across multiple computers in a way that ensures the data is secure, transparent, and tamper-proof. Thus, it introduced an enhanced security and transparency by ensuring that all transactions are recorded in a tamper-proof, decentralized ledger. It also enabled greater efficiency and trust in processes by removing intermediaries and allowing for real-time, verifiable data sharing. These characteristics makes it a very good candidate (and is already implemented on few platforms) for a transaction platform of decentralized energy markets. Some examples of the applications are:

Peer-to-peer energy trading: homeowners with solar panels can sell excess energy directly to neighbours.
Grid management: smart contracts automate billing, load balancing, and flexibility services.
Carbon credit tracking: immutable ledgers ensure accurate accounting of emissions and offsets.

Quantum computing

Optimizing energy systems

Quantum computing is a new kind of computing that uses special particles called qubits, which can do many calculations at once. This means quantum computers could solve really hard problems much faster than regular computers. As such, quantum computing offers powerful tools for solving complex energy challenges, not possible with existing technologies, few examples are:

Grid optimization: quantum algorithms can model and optimize large-scale energy networks in real time. Models of energy grid are very complex, including large sets of different devices with diverse operating characteristics which may influence the operation of the grid itself. To optimize their operation, heavy computing is required which traditional computers are unable to perform in real time. Quantum computing and its related algorithms may overcome these limitations and enable more efficient and reliable operation of the grid.
Battery design: simulating quantum interactions helps develop more efficient and longer-lasting energy storage. As battery storage is seen as a solution for the volatile and amorphous nature of distributed energy resources, their low prices and high energy density will support their market penetration thus enable the stabilization of the grid.
Climate modelling: quantum simulations improve the accuracy of climate and energy impact forecasts and thus enables better energy generation forecasting. Better energy generation forecasting results in better utilization of the grid which essentially leads to better efficiency and more stable operation.

With a strong legacy of innovation and a forward-looking strategy, we are integrating these technologies into our products, platforms, and internal processes.