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Impact of Forecasting Models Errors in a Peer-to-Peer Energy Sharing Market

Gomes, Luis; Morais, Hugo; Goncalves, Calvin; Gomes, Eduardo; Pereira, Lucas; Vale, Zita

The use of energy sharing models in smart grids has been widely addressed in the literature. However, feasible technical solutions that can deploy these models into reality, as well as the correct use of energy forecasts are not properly addressed. This paper proposes a simple, yet viable and feasible, solution to deploy energy management systems on the end-user-side in order to enable not only energy forecasti...


Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Pa...

Barreto, Rúben; Goncalves, Calvin; Gomes, Luis; Faria, Pedro; Vale, Zita

In the energy sector, prosumers are becoming relevant entities for energy management systems since they can share energy with their citizen energy community (CEC). Thus, this paper proposes a novel methodology based on demand response (DR) participation in a CEC context, where unsupervised learning algorithms such as convolutional neural networks and k-means are used. This novel methodology can analyze future e...


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