Results 51 to 60 of about 5,992 (265)

A Multi-Scale Electricity Consumption Prediction Algorithm Based on Time-Frequency Variational Autoencoder

IEEE Access, 2021
Accurate electricity consumption forecasting can be treated as a reliable guidance for power production. However, traditional electricity forecasting models suffer from simultaneously capturing the periodicity and the volatility of sequential electricity
Kaihong Zheng, Peng Li, Shangli Zhou, Wenhan Zhang, Sheng Li, Lukun Zeng, Yingnan Zhang   +6 more
doaj   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

Forecasting the Covolatility of Coffee Arabica and Crude Oil Prices: A Multivariate GARCH Approach with High-Frequency Data

Journal of Probability and Statistics, 2020
Forecasting the covolatility of asset return series is becoming the subject of extensive research among academics, practitioners, and portfolio managers.
Dawit Yeshiwas, Yebelay Berelie
doaj   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Evaluating volatility and interval forecasts

Journal of Forecasting, 1999
A widely used approach to evaluating volatility forecasts uses a regression framework which measures the bias and variance of the forecast. We show that the associated test for bias is inappropriate before introducing a more suitable procedure which is based on the test for bias in a conditional mean forecast.
openaire   +3 more sources

Modelling and Forecasting Noisy Realized Volatility [PDF]

SSRN Electronic Journal, 2009
Several methods have recently been proposed in the ultra high frequency financial literature to remove the effects of microstructure noise and to obtain consistent estimates of the integrated volatility (IV) as a measure of ex-post daily volatility.
Manabu Asai, Michael McAleer, Marcelo C. Medeiros   +2 more
openaire   +9 more sources

Backbone‐Controlled Ion‐Side Chain Accessibility in Conjugated Polymers for Organic Electrochemical Synaptic Transistors

Advanced Functional Materials, EarlyView.
Backbone modulation in glycolated conjugated polymers governs ion accessibility to side chains, strengthes anion adsorption, and suppresses back‐diffusion. As the number of thiophene units increases, structural reorganization, retention, and synaptic plasticity are enhanced, leading to improved neuromorphic performance in electrolyte‐gated organic ...
Junho Sung, Sein Chung, Byeongjun Jeon, Donghwa Lee, Myungjin An, Jiyeong Shin, Yoohyeon Jang, Donghoo Won, Changduk Yang, Bumjoon Seo, Eunho Lee   +10 more
wiley   +1 more source

Coin impact on cross-crypto realized volatility and dynamic cryptocurrency volatility connectedness

Financial Innovation
This study evaluates the predictive accuracy of traditional time series (TS) models versus machine learning (ML) methods in forecasting realized volatility across major cryptocurrencies—Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC), and Ripple (XRP ...
Burak Korkusuz, Mehmet Sahiner
doaj   +1 more source

Self‐Adaptive Anhydrous Passivation Mitigates Open‐Circuit Voltage Loss in Pb‐Sn Mixed Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
In this report, a self‐adaptive anhydrous passivation strategy is introduced by incorporating trimellitic anhydride (TMAH) into the perovskite precursor. In situ hydrolysis of TMAH yields trimellitic acid (TMA); ‐C═O/‐COO− groups of TMAH/TMA form a chelate with undercoordinated Pb2+/Sn2+, regulate nucleation, promote (100) orientation, passivate ...
Md. Ataur Rahman, Md. Abdul Karim, Md. Emrul Kayesh, Siliang Cao, Shamim Ahmmed, Kiyoto Matsuishi, Ashraful Islam   +6 more
wiley   +1 more source

Cryptocurrency price returns volatility modeling and forecasting with GARCH models [PDF]

RAUSP Management Journal
PurposeThe paper aims to identify suitable conditional variance models for the estimation and forecasting of cryptocurrency returns volatility.Design/methodology/approachThe methodology comprises the use of GARCH-family models estimated by maximum ...
Lukas Silva, Leandro Maciel
doaj   +1 more source