Results 21 to 30 of about 678,547 (301)

Modeling and forecasting electricity spot prices: A functional data perspective [PDF]

open access: yes, 2013
Classical time series models have serious difficulties in modeling and forecasting the enormous fluctuations of electricity spot prices. Markov regime switch models belong to the most often used models in the electricity literature.
Liebl, Dominik
core   +3 more sources

Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm

open access: yesIEEE Open Access Journal of Power and Energy, 2022
The COVID-19 related shutdowns have made significant impacts on the electric grid operation worldwide. The global electrical demand plummeted around the planet in 2020 continuing into 2021.
Mostafa Farrokhabadi   +5 more
doaj   +1 more source

Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis [PDF]

open access: yes, 2011
In this article, we investigate the competitive interaction between electrical vehicles or hybrid oil-electricity vehicles in a Cournot market consisting of electricity transactions to or from an underlying electricity distribution network.
Couillet, Romain   +3 more
core   +5 more sources

Assessment of hydroelectric potential under climate change and hydrological parameters based on soft-computing: A case study

open access: yesEnergy Reports, 2023
Electricity is recognized as one of the most pervasive government services. Therefore, accurate forecasting of electricity demand has a great impact on electricity management. In this paper, the monthly electricity demand has been forecasted.
Huihua Jian
doaj   +1 more source

Why Electricity Demand Is Highly Income-Elastic in Spain: A Cross-Country Comparison Based on an Index-Decomposition Analysis

open access: yesEnergies, 2017
Since 1990, Spain has had one of the highest elasticities of electricity demand in the European Union. We provide an in-depth analysis into the causes of this high elasticity, and we examine how these same causes influence electricity demand in other ...
Julián Pérez-García   +1 more
doaj   +1 more source

Electrical Spare Parts Demand Forecasting

open access: yesElektronika ir Elektrotechnika, 2014
In this paper is presented a research of electrical spare parts demand forecasting through application of conventional (moving average, exponential smoothing and naive theory), more sophisticated forecasting techniques (support vector regression, feed-forward neural networks) and adaptive model selection methodologies.
Vaitkus, V.   +3 more
openaire   +2 more sources

Short-Term Electricity Demand Forecasting Using a Functional State Space Model

open access: yesEnergies, 2018
In the past several years, the liberalization of the electricity supply, the increase in variability of electric appliances and their use, and the need to respond to the electricity demand in real time has made electricity demand forecasting a challenge.
Komi Nagbe   +2 more
doaj   +1 more source

Estimation of Residential Electricity Demand among the Selected Counties in Tehran Province using Dynamic Panel Data Model [PDF]

open access: yesپژوهشهای اقتصادی, 2017
Energy carriers including elasticity play central roles in development of societies. In this paper, we estimate residential electricity demand among the selected counties of Tehran province, i.e., Tehran, Varamin, Firouzkooh, Damavand, using dynamic ...
Vida Varahrami, Mehrnoosh Movahedian
doaj  

Application of LEAP model on long-term electricity demand forecasting in Indonesia, period 2010-2025

open access: yesSHS Web of Conferences, 2018
Electricity demand forecasting is an important part in energy management especially in electricity planning. Indonesia is a large country with a pattern of electricity consumption which continues to increase, therefor need to forecasting electricity ...
Windarta Jaka   +2 more
doaj   +1 more source

A hybrid Autoformer framework for electricity demand forecasting

open access: yesEnergy Reports, 2023
Electricity demand forecasting is of great significance to the electricity system and residents’ life, but it is difficult to forecast the electricity demand series because of the influence of cyclical factors.
Ziqian Wang   +5 more
doaj   +1 more source

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