Wednesday, November 19, 2025 at 12:00 AM
Wednesday, November 19, 2025 at 12:00 AM
Wednesday, November 19, 2025 at 12:00 AM
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May 4, 2025
May 4, 2025
ECM
meonet launches new module "ecm-forecast" for energy forecasts
meonet launches new module "ecm-forecast" for energy forecasts
The energy future is dynamic. More and more photovoltaic systems are feeding electricity into the grid, and the markets react sensitively to weather, prices, and demand. In this world, not only data is needed, but also foresight – and this is exactly where meonet comes in: With the new module "ecm-forecast", meonet is entering the forecasting arena.
The energy future is dynamic. More and more photovoltaic systems are feeding electricity into the grid, and the markets react sensitively to weather, prices, and demand. In this world, not only data is needed, but also foresight – and this is exactly where meonet comes in: With the new module "ecm-forecast", meonet is entering the forecasting arena.
The energy future is dynamic. More and more photovoltaic systems are feeding electricity into the grid, and the markets react sensitively to weather, prices, and demand. In this world, not only data is needed, but also foresight – and this is exactly where meonet comes in: With the new module "ecm-forecast", meonet is entering the forecasting arena.
From Excel to Excellence
So far, long-term forecasts have been created in many energy supply companies (ESCs) based on manually maintained Excel files – an approach that quickly reaches its limits with increasing complexity. Important influencing factors such as PV expansion or weather trends have previously been recorded manually and roughly estimated. This takes time and reduces the quality of the forecast.
Meonet is systematically tackling this process now. The goal is to digitize and automate the entire forecasting process – from data collection to modeling to evaluation.
The goal in the first step: A sustainable long-term forecast
The project is creating a solution that goes far beyond mere automation. The focus is on:
A professional forecasting tool for long-term energy planning.
An efficient, well-thought-out process that integrates seamlessly into existing systems.
A robust data foundation that is automatically processed and maintained.
Transparent forecasting variants that represent different scenarios and influencing factors.
A development advisory board that ensures the tool remains practical and usable across the industry.
In the second step, the "ecm-forecast" module should not only be used for long-term forecasting but also for other forecasting needs.
The heart of the matter: the "ecm-forecast" module
The newly developed "ecm-forecast" module is the technical backbone of the solution. It connects data-driven forecasting models with practical applicability:
Automated data interfaces provide a continuous and reliable supply of input data.
Modern forecasting methods such as time series analysis, machine learning, and deep learning deliver precise results.
An integrated monitoring dashboard enables ongoing monitoring and evaluation of forecast quality.
Audit-proof archiving ensures that data and model versions remain traceable at all times.
Cost-efficient utilization of the module leverages freely available weather data via a publicly accessible API. Of course, other weather data providers can be easily integrated.
Especially important: Parameterization can be carried out independently by the specialist department – this creates autonomy, flexibility, and proximity to the specialists.
Forecasting with added value
By entering the forecasting field, meonet sets another milestone in the digitalization of the energy sector. The new "ecm-forecast" module combines technical precision with operational efficiency and helps ESCs to minimize risks, optimize prices, and make informed decisions. This turns data into real foresight – and forecasting into a significant competitive advantage.
Conclusion: Meonet brings structure to long-term forecasting – data-based, automated, and future-oriented.
Are you interested or want to learn more?
Then contact Paul Hugentobler – he will be happy to tell you more about the "ecm-forecast" module and the opportunities for your company.
From Excel to Excellence
So far, long-term forecasts have been created in many energy supply companies (ESCs) based on manually maintained Excel files – an approach that quickly reaches its limits with increasing complexity. Important influencing factors such as PV expansion or weather trends have previously been recorded manually and roughly estimated. This takes time and reduces the quality of the forecast.
Meonet is systematically tackling this process now. The goal is to digitize and automate the entire forecasting process – from data collection to modeling to evaluation.
The goal in the first step: A sustainable long-term forecast
The project is creating a solution that goes far beyond mere automation. The focus is on:
A professional forecasting tool for long-term energy planning.
An efficient, well-thought-out process that integrates seamlessly into existing systems.
A robust data foundation that is automatically processed and maintained.
Transparent forecasting variants that represent different scenarios and influencing factors.
A development advisory board that ensures the tool remains practical and usable across the industry.
In the second step, the "ecm-forecast" module should not only be used for long-term forecasting but also for other forecasting needs.
The heart of the matter: the "ecm-forecast" module
The newly developed "ecm-forecast" module is the technical backbone of the solution. It connects data-driven forecasting models with practical applicability:
Automated data interfaces provide a continuous and reliable supply of input data.
Modern forecasting methods such as time series analysis, machine learning, and deep learning deliver precise results.
An integrated monitoring dashboard enables ongoing monitoring and evaluation of forecast quality.
Audit-proof archiving ensures that data and model versions remain traceable at all times.
Cost-efficient utilization of the module leverages freely available weather data via a publicly accessible API. Of course, other weather data providers can be easily integrated.
Especially important: Parameterization can be carried out independently by the specialist department – this creates autonomy, flexibility, and proximity to the specialists.
Forecasting with added value
By entering the forecasting field, meonet sets another milestone in the digitalization of the energy sector. The new "ecm-forecast" module combines technical precision with operational efficiency and helps ESCs to minimize risks, optimize prices, and make informed decisions. This turns data into real foresight – and forecasting into a significant competitive advantage.
Conclusion: Meonet brings structure to long-term forecasting – data-based, automated, and future-oriented.
Are you interested or want to learn more?
Then contact Paul Hugentobler – he will be happy to tell you more about the "ecm-forecast" module and the opportunities for your company.
From Excel to Excellence
So far, long-term forecasts have been created in many energy supply companies (ESCs) based on manually maintained Excel files – an approach that quickly reaches its limits with increasing complexity. Important influencing factors such as PV expansion or weather trends have previously been recorded manually and roughly estimated. This takes time and reduces the quality of the forecast.
Meonet is systematically tackling this process now. The goal is to digitize and automate the entire forecasting process – from data collection to modeling to evaluation.
The goal in the first step: A sustainable long-term forecast
The project is creating a solution that goes far beyond mere automation. The focus is on:
A professional forecasting tool for long-term energy planning.
An efficient, well-thought-out process that integrates seamlessly into existing systems.
A robust data foundation that is automatically processed and maintained.
Transparent forecasting variants that represent different scenarios and influencing factors.
A development advisory board that ensures the tool remains practical and usable across the industry.
In the second step, the "ecm-forecast" module should not only be used for long-term forecasting but also for other forecasting needs.
The heart of the matter: the "ecm-forecast" module
The newly developed "ecm-forecast" module is the technical backbone of the solution. It connects data-driven forecasting models with practical applicability:
Automated data interfaces provide a continuous and reliable supply of input data.
Modern forecasting methods such as time series analysis, machine learning, and deep learning deliver precise results.
An integrated monitoring dashboard enables ongoing monitoring and evaluation of forecast quality.
Audit-proof archiving ensures that data and model versions remain traceable at all times.
Cost-efficient utilization of the module leverages freely available weather data via a publicly accessible API. Of course, other weather data providers can be easily integrated.
Especially important: Parameterization can be carried out independently by the specialist department – this creates autonomy, flexibility, and proximity to the specialists.
Forecasting with added value
By entering the forecasting field, meonet sets another milestone in the digitalization of the energy sector. The new "ecm-forecast" module combines technical precision with operational efficiency and helps ESCs to minimize risks, optimize prices, and make informed decisions. This turns data into real foresight – and forecasting into a significant competitive advantage.
Conclusion: Meonet brings structure to long-term forecasting – data-based, automated, and future-oriented.
Are you interested or want to learn more?
Then contact Paul Hugentobler – he will be happy to tell you more about the "ecm-forecast" module and the opportunities for your company.
