This paper aims to research the organizational factors influencing the implementation of energy efficiency measures in companies. The analysis was performed on a sample of companies from Serbia included in the World Bank Enterprise Survey. The raw data collected by the World Bank were utilized...

By 2050, the European Union aims to become climate neutral. The achievement of this goal will require, among others, a massive boost in energy efficiency. Companies and other organizations can make a significant contribution to climate protection through systematic and long-term energy...

Energy management strategy plays a vital role in the energy efficiency of the extended range electric vehicle. The reinforcement learning-based control strategy can be adopted as online control without being subjected to the pre-known environment information . In this study, a novel auxiliary...

In recent years, the definition of the distributed energy management frameworks has become the core of research due to its distinguished advantages including the less time-consuming, more accurate and secure than the centralized frameworks. In this sense, this work proposes an effective energy...

Most analyses of the Kyoto flexibility mechanisms focus on the cost effectiveness of where flexibility (e.g. by showing that mitigation costs are lower in a global permit market than in regional markets or in permit markets confined to Annex 1 countries). Less attention has been devoted to when...

Summary As COVID-19 spreads worldwide, governments have been implementing a wide range of measures to contain it, from movement restrictions to economy-wide shutdowns. Understanding their impacts is essential to support better policies for countries still experiencing outbreaks or in case of...

A microgrid contains a PV generator and energy storage system connected in a laboratory building. Power generation is scheduled to meet the load of the building to adjust optimally the generation exchange within the microgrid. In this study, the problem of decreasing the cost of energy under...

The increase demand for electricity and the non-renewable nature of fossil energy makes the move towards renewable energies required. However, the common problem of renewable sources, which is the intermittence, is overcome by the hybridization of complementary sources. Thus, whenever the load...

The international crude oil maritime transportation system has always been disturbed by the external environment and its own mechanism of supply and demand, which can sometimes last for a long time. BDTI (Baltic Exchange Dirty Tanker Index) is one of the most typical indexes in the crude oil...

A microgrid contains a PV generator and energy storage system connected in a laboratory building. Power generation is scheduled to meet the load of the building to adjust optimally the generation exchange within the microgrid. In this study, the problem of decreasing the cost of energy under...

The increase demand for electricity and the non-renewable nature of fossil energy makes the move towards renewable energies required. However, the common problem of renewable sources, which is the intermittence, is overcome by the hybridization of complementary sources. Thus, whenever the load...

The international crude oil maritime transportation system has always been disturbed by the external environment and its own mechanism of supply and demand, which can sometimes last for a long time. BDTI (Baltic Exchange Dirty Tanker Index) is one of the most typical indexes in the crude oil...

Decarbonization through optimized energy flows. In this book you will learn how a significant reduction in climate changing greenhouse gas emissions can be achieved through systemic optimization of our energy systems. The authors clearly demonstrate how energy-intensive processes can be...

Chapter 1 Introduction -- Chapter 2 Residential Electricity Consumption Pattern Mining based on Fuzzy Clustering -- Chapter 3 Load Profiling Considering Shape Similarity using Shape-based Clustering -- Chapter 4 Load Classification and Driven Factors Identification based on Ensemble Clustering...