A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
MQ Raza, A Khosravi - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …
generation power system such as smart grid, efficient energy management and better power …
Recent advances in electricity price forecasting: A review of probabilistic forecasting
J Nowotarski, R Weron - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …
forecasting (EPF) has gradually become a fundamental process for energy companies' …
[HTML][HTML] Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
In this paper, a novel modeling framework for forecasting electricity prices is proposed.
While many predictive models have been already proposed to perform this task, the area of …
While many predictive models have been already proposed to perform this task, the area of …
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Electricity price forecasting is a key aspect for market participants to maximize their
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future
R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …
last 15 years, with varying degrees of success. This review article aims to explain the …
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market …
W Li, DM Becker - Energy, 2021 - Elsevier
The availability of accurate day-ahead electricity price forecasts is pivotal for electricity
market participants. In the context of trade liberalisation and market harmonisation in the …
market participants. In the context of trade liberalisation and market harmonisation in the …
Electricity price forecasting using recurrent neural networks
Accurate electricity price forecasting has become a substantial requirement since the
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
Machine learning-based scaling management for kubernetes edge clusters
Kubernetes, the container orchestrator for cloud-deployed applications, offers automatic
scaling for the application provider in order to meet the ever-changing intensity of …
scaling for the application provider in order to meet the ever-changing intensity of …
[PDF][PDF] The price prediction for the energy market based on a new method
H Ebrahimian, S Barmayoon, M Mohammadi… - Economic research …, 2018 - hrcak.srce.hr
Regarding the complex behaviour of price signalling, its prediction is difficult, where an
accurate forecasting can play an important role in electricity markets. In this paper, a feature …
accurate forecasting can play an important role in electricity markets. In this paper, a feature …