Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …

In this paper, we propose a scalable Big Data framework that collects the data from smart
meters and weather sensors, pre-processes and loads it into a NoSQL database that is …

As the digitalization process has become more and more important in our daily lives, during
recent decades e-commerce has greatly increased in popularity, becoming increasingly …

Lately, many scientists have focused their research on subjects like smart buildings, sensor
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …

The use of emerging technologies such as cloud computing, Internet of Things, and Big
Data, is increasing as tools to assist the management of data and information related to …

The accurate forecasting of the hourly month-ahead electricity consumption represents a
very important aspect for non-household electricity consumers and system operators, and at …

The transition of the energy system into a more efficient state requires innovative ideas to
finance new schemes and engage people into adjusting their behavioural patterns …

In the light of Germany's chosen path towards the energy transition, the regulatory
framework has changed considerably. New players have succeeded in entering the market …

BACKGROUND: Human resource development in sustainability is a prerequisite of
enhancing the success of any organization. Education for sustainable development has …