Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

Intelligent systems have particular potentialities and strengths to support decisional
situations faced by companies, especially those of a strategic nature, where good strategic …

Within the context of the circular economy, this article analyses how supermarkets can
reduce food waste by implementing appropriate marketing strategies underpinned by digital …

The complex problem of risk factors has greatly increased globally due to the quick ever-
changing digital era. The development of suitable techniques for facilitating the performance …

Contexto: Hoy en día, el uso de grandes cantidades de datos adquiridos desde diversos
dispositivos y equipos electrónicos, ópticos u otra tecnología de medición, generan un …

This paper applies the conceptual framework applied in the work of Oum to hedge retailers
against price-quantity fluctuations in spot electricity markets, and extends it to power …

This article presents an original predictive strategy, based on a new mid-term forecasting
model, to be used for trading physical electricity futures. The forecasting model is used to …

Artificial Intelligence (AI) is causing radical changes in marketing and emerging as a
competent assistant supporting all areas of the marketing field. The influences and impacts …

This article investigates the value drivers that can help the distributors to increase sales and
revenues in the Brazilian electricity free market. The findings contribute to the literature by …

The development of technology has transformed the process of product development and
customer relationship building. It shows impressive results in deep learning and AI …