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Fig. 2 | Energy Informatics

Fig. 2

From: Reinforcement learning in local energy markets

Fig. 2

Gain from trading with change in rec parameter for a single household. Figure 2 refers to the gains obtained from trading for different values of the rec parameter. For rec = 0,01, the gain from trading starts a bit lower than most of the other sets but the shape of the curve suggests that it increases at a faster rate with time. For rec = 0,0125, we can see that it starts a bit higher than with the previous set of parameters, but gets lower between 500h and 1000h. This is a short-term strategy, but we can see by comparing to the other curves that it does not seem to be efficient, as it is almost always lower than most of the other curves. For rec = 0,015, the gain starts at a high value. Moreover, it increases at a faster rate, and we can see that after 1500h it is higher than any other curve. The gain obtained from rec=0,0175 seems to be highest for short term. However, as time passes, it tends to slowly fall below the other curves. For rec=0,02, the gain in the beginning is roughly the same as rec = 0.015. However, for long term, it can be seen that the curve with this set increases much slower than the other

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