While the field of electricity price forecasting has benefited from plenty of contributions in the
last two decades, it arguably lacks a rigorous approach to evaluating new predictive …

This paper presented a review on the capabilities of machine learning algorithms toward
Earth observation data modelling and information extraction. The main purpose was to …

In this paper, a multi-modal short-term wind speed prediction framework has been proposed
based on Artificial Neural Networks (ANNs). Given the stochastic behavior and high …

Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. Abstract The negative environmental …

A day-ahead electricity price forecasting is a very crucial area of research that focuses on
predicting prices in wholesale electricity markets. Although many contributions have been …

Day-Ahead Market offers electricity market participants the opportunity to trade electricity
one day ahead of real-time. For each hour, a separate Market Clearing Price is created in …

Türkiye elektrik piyasası, reform ve deregülasyon hareketleri ile dikey bütünleşik yapıdan
rekabetin olduğu bir piyasa formuna dönüşmüştür. Bu durumun bir getirisi olarak, Mart …

The main purpose of this work is to assess and understand the achievement of Sustainable
Development Goals by means of Earth Observation (EO) data and Machine Learning (ML) …