Efficient wind power prediction using machine learning methods: A comparative study
Wind power represents a promising source of renewable energies. Precise forecasting of
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
Short-term electricity prices forecasting using functional time series analysis
In recent years, efficient modeling and forecasting of electricity prices became highly
important for all the market participants for develo** bidding strategies and making …
important for all the market participants for develo** bidding strategies and making …
Event-driven forecasting of wholesale electricity price and frequency regulation price using machine learning algorithms
The wholesale electricity market is composed of real-time market and procurement. Since
the fully liberalization of the energy market in Singapore in 2018, competition among the …
the fully liberalization of the energy market in Singapore in 2018, competition among the …
Functional Data Approach for Short‐Term Electricity Demand Forecasting
In today's liberalized electricity markets, modeling and forecasting electricity demand data
are highly important for the effective management of the power system. However, electricity …
are highly important for the effective management of the power system. However, electricity …
Modeling and forecasting electricity demand and prices: A comparison of alternative approaches
Electricity demand and price forecasting are key components for the market participants and
system operators as precise forecasts are necessary to manage power systems effectively …
system operators as precise forecasts are necessary to manage power systems effectively …
Multiple novel decomposition techniques for time series forecasting: Application to monthly forecasting of electricity consumption in Pakistan
In today's modern world, monthly forecasts of electricity consumption are vital in planning the
generation and distribution of energy utilities. However, the properties of these time series …
generation and distribution of energy utilities. However, the properties of these time series …
Time series forecasting and modeling of food demand supply chain based on regressors analysis
Accurate demand forecasting has become extremely important, particularly in the food
industry, because many products have a short shelf life, and improper inventory …
industry, because many products have a short shelf life, and improper inventory …
Forecasting day-ahead electricity prices for the Italian electricity market using a new decomposition—combination technique
Over the last 30 years, day-ahead electricity price forecasts have been critical to public and
private decision-making. This importance has increased since the global wave of …
private decision-making. This importance has increased since the global wave of …
[PDF][PDF] Analysis and forecasting of electricity prices using an improved time series ensemble approach: An application to the Peruvian electricity market
In today's electricity markets, accurate electricity price forecasting provides valuable insights
for decision-making among participants, ensuring reliable operation of the power system …
for decision-making among participants, ensuring reliable operation of the power system …
Short-term forecasting of monkeypox cases using a novel filtering and combining technique
In the modern world, new technologies such as artificial intelligence, machine learning, and
big data are essential to support healthcare surveillance systems, especially for monitoring …
big data are essential to support healthcare surveillance systems, especially for monitoring …