Vision

Vision

Vision

We accelerate the energy shift
by stabilizing renewable energy.


Mission

Our mission is to make renewable energy meaningful.
The problem is renewable energy is unstable power source.
We are challenging 3 strategies to generate renewable energy and realize its stable spread.

MIX

Mix

Electric-generating capacity from single wind-power plant or single PV plant is unstable because it depends on deference of the strength of wind or solar radiation.
For this reason, we must generate larger or smaller quantity of electricity repeatedly in accordance with strength of them.
In short, electric-generating capacity is unstable by single power or plant.
“MIX” means being homogenizing.
For example, when we have so many wind and PV plants, even if each electrical-generating capacity is unstable, by overlapping each other, we can catch the bands overlapping the average value.
Gathering renewable energy from wide area – we aim to realize business environment that renewable energy is being used continuously after end of the FIT system.

SAVE

SAVE

We use storage batteries to make renewable energy be stable.
It is necessary to use huge batteries to save all quantity of electrical power, but by saving outlier of unstable electrical generation, we can expect a certain level of homogenizing.
We, afterFIT, promptly tackle construction and operation of storage battery center and verify it.
In order to make renewable energy stable, we use batteries and generate the meaningful power source.

PREDICT

PREDICT

Basically, electricity market adopts the previous day trading.
If renewable energy will be traded actively from now on, electrical power will be bought and sold every 30 minutes.
We must promise today, that how much electrical power we can provide tomorrow.
We work on predicting this issue “how much we can provide tomorrow?”
In the case of solar power, it is solar radiation being the clue to know electrical-generating capacity. By letting AI deep learning data from clouds, radar and solar radiation meters, we predict electrical-generating capacity.