Forecasting

“Tomorrow’s energy, today!” Nispera offers best-in-class forecast solutions in response to the power market’s dynamic requirements.

  Wind Power Forecast

Wind Power Forecast

We generate superior wind power forecasts because wind is our passion.

    Photovoltaic Power Forecast

Photovoltaic Power Forecast

Benefit from our expertise to manage the variability of the solar power resource.

  Forecast Optimisation

Forecast Optimisation

Is a blended whisky better than a single malt? …a forecast is!

    Imbalance Monitoring

Imbalance Monitoring

A comprehensive real-time overview of the forecast quality helps you to efficiently manage imbalances on the market.

  Electricity Demand Forecast

Electricity Demand Forecast

Advanced tools forecast the power demand of large-scale energy consumers.

Wind Power Forecast


Reliable forecasting of wind power is of paramount importance for various managerial tasks such as the quantification of capacity reserves, the economic dispatch of wind generation and the design of optimal trading strategies.

Nispera provides wind power forecasts worldwide for the efficient trading of wind energy in the day-ahead and intra-day markets. Nispera’s power forecasting system is highly flexible in that it provides forecasts for individual turbines as well as whole windfarms or can be adapted to the specific needs of the target market.

Together with these forecasts, Nispera provides an imbalance monitoring system to assess the forecast quality in real time by comparing the forecast with actual measurements. This system is accessible via web or mobile apps, and is an excellent support especially for traders acting within the intra-day markets.

The main features of Nispera’s forecast are:

  • Combination of multi-model ensemble and statistically improved forecast, optimized with our proprietary multistage downscaling technique
  • State-of-the-art artificial intelligence methods (e.g. neural networks) periodically re-trained on high performance resources
  • Hourly forecast updates, including most recent power generation data

Photovoltaic Power Forecast


Photovoltaic (PV) electricity generation is making rapid inroads into supply grids worldwide. High penetration rates however lead to load dispatch challenges due to the variability at all timescales (from seconds to years) and uncertainty in the prediction of this energy resource.

The elaboration of reliable forecast information is thus essential for an efficient grid integration and trading of solar energy.

Nispera has developed a robust forecasting model for PV plants, assisting in minimizing potential imbalance costs. Energy traders, power utilities, plant operators and transmission system operators benefit from our expertise in managing the variability of solar energy and to optimize the harnessing of the resource for the benefit of energy supply.

Nispera’s approach to PV forecasts includes the use of PV system data and numerical weather prediction (NWP) models. Higher forecast accuracy is achieved by post-processing the results obtained from NWP models using measurements at the plant site.

Forecast Optimisation


Forecast users (traders, transmission system operators, etc.) tend to gather more than one single forecast, mainly to provide redundancy and to continuously benchmark them against each other. Leveraging upon these multiple forecasts, one can obtain a considerably improved prediction, using advanced blending techniques.

Nispera’s forecast optimisation method achieves an optimized blending of the individual forecasts using advanced machine-learning strategies. By including weather information as additional input, our model has proven to provide more accurate results when compared to conventional multi-model ensemble approaches, based on fixed-weighted model averaging.

Imbalance Monitoring


For leading edge renewable energy trading, continuous monitoring and assessment of the forecast performance represents a significant added value. Nispera provides real-time imbalance monitoring solutions tailored to the needs of its Clients and of the specific markets in which they operate. These tools are readily accessible via web clients and mobile apps.

Electricity Demand Forecast


Load forecasting is vital in the planning of the electricity industry as well as in the operation of electric power systems. Accurate forecasts lead not only to substantial savings in operational costs but also increase the reliability of power supply and delivery systems and help making educated decisions for future development.

Nispera offers state-of-the-art tools for forecasting the power demand of large-scale energy consumers such as factories and industrial complexes. Nispera’s tools are based on machine learning and advanced clustering techniques incorporating specific technical know-how and information about the facilities.

Nispera