EMD-DR models for forecasting electricity load demand

2016 ◽  
Vol 9 ◽  
pp. 763-780
Author(s):  
Nuramirah Akrom ◽  
Zuhaimy Ismail
Keyword(s):  
Author(s):  
Fabio Riva ◽  
Francesco Davide Sanvito ◽  
Francesco Tonini Tonini ◽  
Emanuela Colombo ◽  
Fabrizio Colombelli

Author(s):  
Amira Hassan Abed ◽  
Mona Nasr ◽  
Laila Abd Elhamid

Electricity load demand converts from time to time frequently in a day. Encountering time-varying demand particularly in peak times is considered a big challenge that faces electric utilities. Persistent growth in peak load increases the prospect of power failure and increases the electricity equipping marginal cost. Therefore, balancing production and consumption of electricity or addressing peak load has become a key attention of utilities. Most previous works and researches were focused on applying Shave/Shift peak load to solve energy scarcity. In this study, we introduce four significant technologies and techniques for achieving peak load shaving, namely “Internet of Things (IoT) in Energy System”, “On-site Generation systems (Renewable Energy Resources)”, “Demand Side Management (DSM)” applications of control center and “Energy Storage Systems (ESSs)”. The impact of these four major methods for peak load shaving to the grid has been discussed in detail. Finally, we suggest a conceptual framework as guiding tool for illustrating the presented technologies of Shave/Shift peak load in energy systems.


2021 ◽  
Vol 927 (1) ◽  
pp. 012015
Author(s):  
Siti Aisyah ◽  
Arionmaro Asi Simaremare

Abstract In the industrial era 4.0 as it is today, along with the increasing need for electrical energy, energy efficiency is an essential factor in achieving energy production cost efficiency. Efficiency will be achieved if electricity production can be adjusted to the customer’s electrical load. However, adjusting the electricity production poses a challenge, namely the difficulty of predicting the daily electricity load of customers. There are many factors that affect the electric load. One of the main factors is the weather. Therefore, this study focuses on the correlation of weather parameters on load demand. The weather parameters consist of temperature, rainfall, solar radiation, and wind speed. Case studies were conducted in Bali Island and Central Java Province. This paper looked for correlations between weather parameters with the load demand, especially in the island of Bali and Central Java Province.


2008 ◽  
Vol 8 (13) ◽  
pp. 2428-2434 ◽  
Author(s):  
Zuhaimy Ismail ◽  
Faridatul Azna Jamal

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