Onur Elma

Umit Cali, Murat Kuzlu, Manisa Pipattanasomporn et al.

Renewable energy sources (RES) are among the most popular emerging energy resources during the past two decades. Many countries have introduced various energy policy instruments, such as renewable energy certificates (RECs), to support the growth of RES. RECs are tradable non-tangible assets, which have a monetary value. Tracking and certification of the origin of an energy resource regardless of its type (e.g., a conventional power plant or RES) is a critical operation. In addition to the certification of origin, trading transactions are needed to be performed using a secure method. Energy industry participants need to secure the data and applications related to RECs. Distributed ledger technology (DLT) is a perfect framework that can support such REC functionalities. This paper addresses the cybersecurity aspects in REC trading using Blockchain and a distributed ledger technology, considering detailed cybersecurity perspectives.

S. Sarp, M. Kuzlu, U. Cali et al.

The use of solar photovoltaics (PV) energy provides additional resources to the electric power grid. The downside of this integration is that the solar power supply is unreliable and highly dependent on the weather condition. The predictability and stability of forecasting are critical for the full utilization of solar power. This study reviews and evaluates various machine learning-based models for solar PV power generation forecasting using a public dataset. Furthermore, The root mean squared error (RMSE), mean squared error (MSE), and mean average error (MAE) metrics are used to evaluate the results. Linear Regression, Gaussian Process Regression, K-Nearest Neighbor, Decision Trees, Gradient Boosting Regression Trees, Multi-layer Perceptron, and Support Vector Regression algorithms are assessed. Their responses against false data injection attacks are also investigated. The Multi-layer Perceptron Regression method shows robust prediction on both regular and noise injected datasets over other methods.