The electrical power system has experienced several changes during the last decade,
raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly …

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 …

The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …

To reduce network integration and boost energy trading, wind power forecasting can play an
important role in power systems. Furthermore, the uncertain and nonconvex behavior of …

Short-term load forecasting is of major interest for the restructured environment of the
electricity market. Accurate load forecasting is essential for effective power system operation …

The high cost, low yield, and low stability of nanomaterials significantly hinder the
application and development of memristors. To promote the application of memristors …

This work proposes different prediction models based on multi-block forecast engine for load
and price forecast in electricity market. Due to high correlation of load and price signals, the …

This paper presents a new prediction model based on empirical mode decomposition,
feature selection and hybrid forecast engine. The whole structure of proposed model is …

Accurate power load forecasting is of great significance to ensure the safety, stability, and
economic operation of the power system. In particular, short‐term power load forecasting is …

With continuous industrialization, the demand for electrical energy in various countries has
increased dramatically, posing significant challenges to the safe operation of power …