|
|
|
|
|
Coskun Hamzaçebi
Forecasting electricity consumption is a very important issue for governments and electricity related foundations of public sector. Recently, Grey Modelling (GM (1,1)) has been used to forecast electricity demand successfully. GM (1,1) is useful when the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martin Oberascher, Lukas Schartner and Robert Sitzenfrei
The potential of water supply systems for renewable electrical energy production is frequently utilised by a small-scale hydropower unit (SHPU) that utilises the surplus water or pressure. However, fluctuating demand on an hourly and daily basis represen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta
Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inherent ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
Emerging electric vehicle (EV) technology requires high-voltage energy storage systems, efficient electric motors, electrified power trains, and power converters. If we consider forecasts for EV demand and driving applications, this article comprehensive...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen and Qammer H. Abbasi
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relativel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iffat Gheyas, Gregory Epiphaniou, Carsten Maple and Subhash Lakshminarayana
The safe and efficient function of critical national infrastructure (CNI) relies on the accurate demand forecast. Cyber-physical system-based demand forecasting systems (CDFS), typically found in CNI (such as energy, water, and transport), are highly vul...
ver más
|
|
|
|
|
|
|
|
|
|
|
M. Mpholo, M. Mothala, L. Mohasoa, D. Eager, R. Thamae, T. Molapo, T. Jardine
This study undertook a 2010 to 2030 electricity demand profile for Lesotho, with 2010 used as the base year. The demand forecast was modelled using the International Atomic Energy Agency Model for Analysis of Energy Demand, largely because of its proven ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qasem Abu Al-Haija
The determination of electric energy consumption is remarked as one of the most vital objectives for electrical engineers as it is highly essential in determining the actual energy demand made on the existing electricity supply. Therefore, it is importan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Javier Menéndez, Jesús Manuel Fernández-Oro and Jorge Loredo
The electricity generated by some renewable energy sources (RESs) is difficult to forecast; therefore, large-scale energy storage systems (ESSs) are required for balancing supply and demand. Unlike conventional pumped storage hydropower (PSH) systems, un...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anna Manowska
The impact of environmental regulations introduced by the European Union is of key importance for electricity generation systems. The Polish fuel structure of electricity production is based on solid fuels. Moreover, the generating base is outdated and m...
ver más
|
|
|
|
|
|