Due to population growth, the increase in the quality of life worldwide, the transition to the digital age, the mass consumption of goods, energy consumption is rising.
                        Consumption 
                        Prediction
                      
Data is the tool of the 21st century. Only with better forecasting and prediction of consumption and production can we see the gaps that need to be addressed. All of this leads leads to energy efficiency.
                          With the reduction 
                          of fossil fuel consumption, energy is being 
                          electrified, but electricity 
                          must be generated from 
                          renewable sources, and 
                          renewable sources are not 
                          stable. We need to improve 
                          the predictability of energy use 
                          and generation much more.
                        
                        Grid 
                        Stability
                      
Today, grid stability has many variables. Ability to maintain stability depends on data accuracy, data frequency, and better understanding of the needs and challenges of the system and the community. This is a sweet spot where stability and efficiency can be optimized.
                          Transition 
                          to green 
                          renewable 
                          energy is very necessary but can cause high volatility
                          in the energy grid due to its unreliability
                        
                          E-mobility, small renewable power plants, 
                          large appliances cause difficulties and 
                          volatility in grid stability 
                          and energy reliability.
                        
                        Grid 
                        Autonomy
                      
                          AI is being added to existing technologies to enable
                          self-learning and flexibility. 
                          To optimize, we need to consider also demographics,
                          weather, quality of life and other.
                        
In the EU, all countries have accepted the NACP and high targets have also been accepted globally. The biggest change that needs to happen is in energy management and energy efficiency. Data is the tool.
                        Evolution 
                        Of The 
                        Grid
                      
Based on linking energy flow, demographic and gegraphical data, the system automatically predicts investments in grid evolution and can enable better planning for years into the future.
Compromises to security bring high economic and environmental negative consequences, including threats to privacy.
                        Enablers 
                        Of Energy Iot 
                        Solutions
                      
                          As the density of users and infrastructure is 
                          higher in cities, there is also greater potential
                          
                          for cross-sector integration and complex 
                          infrastructure such as smart grids. By 
                          combining smart home, smart grid and 
                          smart city with energy IoT solutions, 
                          we can achieve many sustainability
                          goals and cities can actively fight 
                          the climate crisis.
                        
                Challenges
Solutions
                  Digital Grid 
Solutions
                Iskraemeco develops tools and end-toend solutions that solve customers’ biggest challenges by leveraging the power of information. Our company helps distribution and grid companies build a future-proof business, support a future-proof community and realize energy efficiency potential. We are empowering the grid of the future.