Fully automated and reliable demand forecasts
Demand forecasts are predictions about the future energy demand of consumers, such as electricity and gas. These forecasts are equally important for energy supply companies and grid operators to plan and ensure energy production, distribution and availability. They are also important for regulatory authorities and policymakers, as they contribute to effective energy policy and planning. With digitalisation advancing in all areas of modern life, it is now possible to create 100% automated, highly reliable forecasts through appropriate software.
Take advantage of accurate demand forecasts
Our data-driven and precise software for demand forecasts offers you numerous advantages as an energy supplier or distributor for an efficient and sustainable energy supply. Thanks to short, medium and long-term determination of the energy demand for electricity and gas, you can uncover potential savings, optimally use them and plan energy production and distribution more accurately. By optimising energy use, CO₂ emissions can also ultimately be reduced. This contributes not only to a more economical energy supply, but to one that is future-proof – on a national or international level.
Our services for a sustainable energy industry
Precision
Technical and meteorological data enable realistic production forecasts as well as appropriate economical planning.
Generation forecasts
Ability to plan
We help you with sustainable energy management through precise PV forecasts regarding prosumers and residual load.
Prosumers and residual load
Automation
Thanks to automated simulation calculations and forecasts, power plant deployment planning has never been more efficient and productive.
Power plant deployment planning
Efficiency
Our software ifesca.ENERGY® provides strong technical support for your company in various redispatch measures.
Redispatch 2.0
Short, medium and long-term demand forecasts for utilities
ifesca.ENERGY® can greatly simplify the entire energy management cycle for energy suppliers thanks to data-driven and reliable demand forecasts. The software identifies all relevant exogenous factors related to the location and develops both short-term and medium/long-term forecasts of consumer demand for electricity, gas and district heating. It offers day-ahead and intraday forecasts, automatic quality monitoring, quick adaptation to a changed database and effortless replacement of incomplete data. Moreover, it applies methods for plausibility checks and substitute value formation as needed.
Determine energy demand reliably
Our software provides an optimal forecast of RLM time series for grid operators and electricity and gas suppliers. The use cases are diverse and cover a wide range of buildings and companies. With the ability to analyse cyclic properties and dependency on external factors, our software can also create time series demand forecasts that are strongly influenced by human behaviour.
ifesca.ENERGY® requires data from at least 90 days for the most accurate demand forecasts. However, even if only limited data is available (30-90 days), our software can create comparison day forecasts to help our customers plan and manage their energy demand.
Our software also provides reliable forecasts for gas demand time series, typically available in a 1-hour frequency. Despite the lower number of measurements and strong dependence on outside temperature, ifesca.ENERGY® can take into account the annual, weekly and daily cycles to deliver extremely efficient results based on historical data. Similar results can be achieved in district heating forecasts.
Refine demand forecasts with special day and shift recognition
We have integrated special day and shift recognition into our software to include them in its demand forecasts. The special day recognition in the measurement time series identifies behaviour on holidays, long weekends and other special days automatically based on the measurements and location information. ifesca.ENERGY® checks holidays based on past data and examines the behaviour of the time series before and after a recognised holiday.
The recognised and recorded special days are taken into account in the forecast and can be manually overwritten at any time. The same applies to shift time series when the time series does not fall to the weekend level during the week. The special characteristics of holidays during the week are also automatically recognised and included – enabling highly accurate electricity and gas demand forecasts that help you optimally anticipate the grid load and operate efficiently.
Successful energy management with demand forecasts from ifesca
Since 2016, ifesca has been operating as a multidisciplinary team of energy industry experts and software developers for the national and international market. Thanks to our demand forecasts, grid operators and energy suppliers can avoid overloads and align their energy management in the most ecologically and economically efficient way possible. Our highly developed software, ifesca.ENERGY®, is also suitable for reliable generation forecasts and successful planning of smart grids.
Data-driven, extremely fast and fully automated, our software is ideal for all companies that want to digitalise their energy management, avoid unnecessary costs and make an essential contribution to the sustainable energy supply in Germany.
If you would like to learn more about our products and your options, we look forward to giving you individual, expert advice. Contact us by email, phone or directly via our contact form!