Methods of forecasting electric energy consumption: A literature review

RV Klyuev, ID Morgoev, AD Morgoeva, OA Gavrina… - Energies, 2022 - mdpi.com
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 …

Cyber threats to smart grids: Review, taxonomy, potential solutions, and future directions

J Ding, A Qammar, Z Zhang, A Karim, H Ning - Energies, 2022 - mdpi.com
Smart Grids (SGs) are governed by advanced computing, control technologies, and
networking infrastructure. However, compromised cybersecurity of the smart grid not only …

Methods and attributes for customer-centric dynamic electricity tariff design: A review

T Rahman, ML Othman, SBM Noor… - … and Sustainable Energy …, 2024 - Elsevier
Most of the developed and developing countries around the world are delving into the
implementation of demand response (DR) strategies in demand side management (DSM) to …

Optimized data-driven models for short-term electricity price forecasting based on signal decomposition and clustering techniques

AI Arvanitidis, D Bargiotas, D Kontogiannis, A Fevgas… - Energies, 2022 - mdpi.com
In recent decades, the traditional monopolistic energy exchange market has been replaced
by deregulated, competitive marketplaces in which electricity may be purchased and sold at …

[HTML][HTML] A novel electricity consumption forecasting model based on kernel extreme learning machine-with generalized maximum correntropy criterion

J Duan, Z Hou, S Fang, W Lu, M Hu, X Tian, P Wang… - Energy Reports, 2022 - Elsevier
Electricity consumption forecasting (ECF) plays a crucial role in the new open electricity
market nowadays, and in order to pass the ECF test, the ECF error is required to be less …

Day-ahead spot market price forecast based on a hybrid extreme learning machine technique: a case study in China

J Dong, X Dou, A Bao, Y Zhang, D Liu - Sustainability, 2022 - mdpi.com
With the deepening of China's electricity spot market construction, spot market price
prediction is the basis for making reasonable quotation strategies. This paper proposes a …

Predictive data analytics for electricity fraud detection using tuned CNN ensembler in smart grid

N Ayub, U Ali, K Mustafa, SM Mohsin, S Aslam - Forecasting, 2022 - mdpi.com
In the smart grid (SG), user consumption data are increasing very rapidly. Some users
consume electricity legally, while others steal it. Electricity theft causes significant damage to …

Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms

V Laitsos, G Vontzos, D Bargiotas, A Daskalopulu… - Energies, 2024 - mdpi.com
The electricity market is constantly evolving, being driven by factors such as market
liberalization, the increasing use of renewable energy sources (RESs), and various …

Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches

OM Katipoğlu - Environmental Science and Pollution Research, 2023 - Springer
Accurate estimation of wind speed (WS) data, which greatly influences meteorological
parameters, plays a vital role in the safe operation and optimization of the power system and …

Mode decomposition based large margin distribution machines for sediment load prediction

BB Hazarika, D Gupta - Expert Systems with Applications, 2023 - Elsevier
Precise suspended sediment load (SSL) prediction is essential for irrigation, hydropower
and river management practices. But due to some external factors such as high altitude …