Intermittence Managed

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FORKAST provides independent owners and operators of renewable energy with powerful, affordable, easy to use energy production forecast and consumption management tools.

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Electric Power Distribution & Management

Electricity Trading

Solar Monitoring Systems

Electrical Vehicle Charge Stations

Hybrid & Storage Systems

Self Consumption

Electric Power Distribution & Management

Intermittence of renewable energy generation on a large scale creates a challenge for grid management. To ensure cost-effective integration of renewable power into the grid and ensure supply and demand are met in real time, a forecasting service based on localised climate data is needed. Accurate renewable power forecasts at plant level help secure operation of the smart grid by maintaining a balance between electricity demand and supply right down to the level of distribution branch lines.

With Forkast, you’ll be able to reduce additionnal costs associated with general volatility.

Electricity Trading

Intrinsic intermittence of renewable power production increases the cost of balancing the electricity system. Reducing this cost relies on accurate renewable production energy forecasts.

An accurate power forecast helps asset owners and electricity traders reduce imbalance costs by nominating and trading the power efficiently.

Reduce imbalance costs with easily-implemented localised power predictions for each asset within your power pool. Complete multi-energy portfolios (wind and PV) can be implemented in a few clicks and grouped by balancing perimeter.

Optimise trading strategy by applying probability-based decision making thanks to Forkast’s unique multi-model process: ongoing mean and standard deviation of predictions based on up to 15 weighted weather models for no additional cost

Solar PV control system OEM

Get the edge over the competition by integrating localised power production forecasts into your control systems.

Enrich the end-user experience by displaying anticipated production on the control panel and monitoring software
Optimise battery charging and load curtailment strategies based on tomorrows PV production

API access and automated setup make deployment a breeze while highly competitive tariffs make these advanced features affordable for systems of all sizes

Where high accuracy is a must, real-time production data can be uploaded via API and processed by our machine learning engine to offer accurate, site-specific solar forecasts drawn from up to 15 weather models

Autonomous EV charging station OEM

Provide real-time signalling to equipped EV’s as to when to make use of a given charging station, based on expected PV or wind production and battery charge level.

API access and automated setup make deployment a breeze while highly competitive tariffs make these advanced features affordable for all systems sizes, from single autonomous charging stations up to large clusters with solar shading.

Hybrid System Operators

Intermittence of renewable energy generation creates a challenge for management of hybrid systems.

Using Forkast’s accurate, localised wind and solar production forecasts, operators of hybrid (battery/generator/PV/wind) power systems can apply advanced strategies for optimal power management:

Decide when to curtail or defer heavy loads, and whether to charge the batteries from grid/diesel or wait for sunny weather.
Reduce diesel or grid power costs while minimising black-outs.

Deployment is a breeze while highly competitive tariffs make these advanced features affordable for all systems sizes.

If you are considering installing such a system, use our sizing tool, which applies localised climate data series - unique to Forkast - to determine the optimal number of PV panels and battery capacity to achieve the lowest cost of energy. The tool considers site-specific and user-defined constraints concerning the operation of the system.

Self-consumption system OEM

Get the edge over the competition by integrating localised power production forecasts into your control systems, offering

Reduced energy bills thanks to optimised use of locally-generated power
Optimise battery charging and load curtailment strategies based on tomorrows PV and wind production
Enrich the end-user experience by displaying anticipated production on the control panel and monitoring software

API access and automated setup make deployment a breeze while highly competitive tariffs make these advanced features affordable for systems of all sizes

Where high accuracy is a must, real-time production data can be uploaded via API and processed by our machine learning engine to offer accurate, site-specific solar and wind forecasts drawn from up to 15 weather models

FORKAST: Renewables production forecasting made easy

Create an entire generation-consumption system: wind and solar generators, storage, load profiles.

Hourly power forecasts up to 14 days ahead, with uncertainty indexes.

Trivial setup thanks to an intuitive interface, hundreds of wind turbine models and easy solar configuration.

No software installation required, free functionality, affordable pricing for commercial use.

Verifiable accuracy

Robust forecasts thanks to a unique multi-model approach.

Enter your own production data and compare it with the past forecast for this site .

Determine bias and start building your own site-specific models .

Your portfolio at a glance

Monitor the upcoming energy production of your portfolio anytime, anywhere.

Improve operational decision making by comparing models and evaluating probabilities.

Receive scheduled email forecasts or directly connect your own applications through APIs.

Location

enter address, (lat, lon) coordinates or drag the marker on the map

Solar panel

Orientation

North NE East SE South SW West NW

Inclination

30° 60° Vertical Horizontal

Peak power (units are kWp)

kWp

Please define location and panel deployment description

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Scheduled emails

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My data

Only premium users can upload their data

In current version, data upload is only used for comparison purposes.

Uploaded data is used for graphical comparison purposes only. It is not sent to Forkast, nor is it used (at this stage) for forecast training and optimization

Load from file Load from API

Upload you measurement files

Choose one or more delimited text files to upload.

Timestamp format:
Decimal separator:

Connect your api

URL:
HTTP Headers:
Timestamp path:
Timestamp format:
Value path:
Update regularity:	Every minutes

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No historical data for this site.

power forecast

Forecast for day

Estimate energy from to

Location

enter address, (lat, lon) coordinates or drag the marker on the map

Turbine

Or describe

kW
m/s
m/s	m/s
m	m

is it a wind farm ?

Please define location and turbine model

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Model weights

Directional speedups

Save settings Only premium users can save models Upgrade your account now !

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Scheduled emails

Only premium users can setup scheduled emails

Activate scheduled email

To email:

Saving ...

Please enter a valid email adress

Please select the day(s) you want to get an email

Please select the hour(s) you want to get an email

Schedule setup successfully

My data

Only premium users can upload their data

In current version, data upload is only used for comparison purposes.

Uploaded data is used for graphical comparison purposes only. It is not sent to Forkast, nor is it used (at this stage) for forecast training and optimization

Load from file Load from API

Upload you measurement files

Choose one or more delimited text files to upload.

Timestamp format:
Decimal separator:

Connect your api

URL:
HTTP Headers:
Timestamp path:
Timestamp format:
Value path:
Update regularity:	Every minutes

Saving ...

Select month

Use mouse scroll button to zoom in/out

No historical data for this site.

power forecast

Forecasts for day

Evaluate energy

from
to

Probability of exceedance 75