Power Purchase Agreements (PPA) play a significant role in deploying renewable energy, a crucial development to meet climate change challenges. Participants set the PPA price through opaque negotiation processes. We present novel, replicable, and transparent financial models to compute the PPA...

Statistical learning models are proposed for the prediction of the probability of a spike in the electricity DART (day-ahead minus real-time price) spread. Assessing the likelihood of DART spikes is of paramount importance for virtual bidders, among others. The model's performance is evaluated...

The current paper illustrates the use of principal component analysis (PCA) on the congestion component of local (i.e. zonal) electricity price data to detect the most salient congestion patterns in electricity transmission grids managed by either a Regional Transmission Organization (RTO) or an...