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

