Results 91 to 100 of about 5,087,756 (305)
FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS [PDF]
In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and ARMAX (where the exogenous variable is the system load) processes.
Rafal Weron, Adam Misiorek
core
Predicting Power Consumption Using Deep Learning with Stationary Wavelet
Power consumption in the home has grown in recent years as a consequence of the use of varied residential applications. On the other hand, many families are beginning to use renewable energy, such as energy production, energy storage devices, and ...
Faouzi Derbel +3 more
core +1 more source
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
SolarIn response to the growing need for accurate forecasting of electricity generation from PV installations, which is crucial both for enhancing self-consumption and for balancing the power grid, this study presents a comparative analysis of selected ...
Piotr Kraska, Krzysztof Hanzel
doaj +1 more source
Prediction in Photovoltaic Power by Neural Networks
Energies, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Antonello Rosato +3 more
doaj +1 more source
Infection forecasts powered by big data [PDF]
Nature, 2018 Web searches, medical records and networks of local volunteers are enabling faster control of disease outbreaks. Web searches, medical records and networks of local volunteers are enabling faster control of disease outbreaks.
openaire +2 more sources
Forecasting wholesale electricity prices: A review of time series models [PDF]
In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. We calibrate autoregression (AR) models, including specifications with a fundamental (exogenous) variable - system load, to ...
Weron, Rafal
core
Power load forecasting using extended normalised radial basis function networks
, 2011 Neural networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products, to the accurate modelling of nonlinear systems.
Lygouras, J.N. +2 more
core +1 more source
ADP‐ribosylation: An emerging regulator of the epigenome
Molecular Oncology, EarlyView.ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
Short-Term Power Forecasting Model for Photovoltaic Plants Based on Historical Similarity
Energies, 2013 This paper proposes a new model for short-term forecasting of electric energy production in a photovoltaic (PV) plant. The model is called HIstorical SImilar MIning (HISIMI) model; its final structure is optimized by using a genetic algorithm, based on ...
M. Sonia Terreros-Olarte +4 more
doaj +1 more source