Πλοήγηση ανά Θέμα "Forecasting accuracy"

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Forecasting Methods to Support the Decision Framework of Prosumers in Deregulated Markets

Panapakidis I.P., Koltsaklis N.E., Christoforidis G.C. (2021)

In the present paper, a profit maximization problem for a prosumer is formulated and solved. The prosumer selects the electricity procurement approach among the pool market and forward contracts. Instead of treating the ...
Implementing fuzzy cognitive maps with neural networks for natural gas prediction

Poczeta K., Papageorgiou E.I. (2018)

The goal of this research study is to test the hardiness of a novel hybrid computational intelligence model in day-ahead natural gas demand prediction. The proposed model combines an evolutionary learned FCM method with a ...
Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management

Kouziokas G.N., Chatzigeorgiou A., Perakis K. (2018)

Managing the groundwater resources is very vital for human life. This research proposes a methodology for predicting the groundwater levels which can be very valuable in water resources management. This study investigates ...
A novel hybrid ensemble LSTM-FFNN forecasting model for very short-term and short-term PV generation forecasting

Kothona D., Panapakidis I.P., Christoforidis G.C. (2022)

The increasing penetration of photovoltaic (PV) systems into the electrical energy systems brings forward several technical and economic issues that mostly relate to their unpredictable nature. A promising solution to many ...
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting

Kouziokas G.N. (2020)

The application of Artificial Intelligence (AI) has been upgraded in many scientific fields the last years, with the development of new artificial intelligence-based technologies and techniques. Considering that in the ...

Πλοήγηση ανά Θέμα "Forecasting accuracy"

Forecasting Methods to Support the Decision Framework of Prosumers in Deregulated Markets ﻿

Implementing fuzzy cognitive maps with neural networks for natural gas prediction ﻿

Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management ﻿

A novel hybrid ensemble LSTM-FFNN forecasting model for very short-term and short-term PV generation forecasting ﻿

SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting ﻿

Forecasting Methods to Support the Decision Framework of Prosumers in Deregulated Markets

Implementing fuzzy cognitive maps with neural networks for natural gas prediction

Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management

A novel hybrid ensemble LSTM-FFNN forecasting model for very short-term and short-term PV generation forecasting

SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting