Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
, 2018 Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol +3 more
core +1 more source
Sustainable Development, EarlyView.ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem +3 more
wiley +1 more source
Modelling Suicide‐Related Communication Dynamics: A Socio‐Cybernetic Framework for Governance
Systems Research and Behavioral Science, EarlyView.ABSTRACT Suicide‐related phenomena (SPS) are often approached through individual‐level risk factors or moral framings, yet their population‐level dynamics depend critically on how ‘suicide’ becomes observable, circulates and is governed across functionally differentiated systems.
Enrique Fernández Vilas, Juan R. Coca
wiley +1 more source
FORECASTING FUTURE PRODUCTION TREND OF DRAGON FRUIT IN REGION 10, PHILIPPINES
AGRISEThis research provided an in-depth analysis of the future production trends of dragon fruit in region 10, Philippines, using secondary data from the Philippine Statistics Authority.
Joemar Dayham Javier
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu +9 more
wiley +1 more source
Carbon Speciation and Solubility in Silicate Melts
Geophysical Monograph Series, Page 179-194., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Natalia Solomatova +2 more
wiley +1 more source
Outlier Detection and Missing Value Estimation in Time Series Traffic Count Data: Final Report of SERC Project GR/G23180. [PDF]
, 1993 A serious problem in analysing traffic count data is what to do when missing or extreme values occur, perhaps as a result of a breakdown in automatic counting equipment. The objectives of this current work were to attempt to look at ways of solving this
Clark, S.D. +3 more
core
A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia +6 more
wiley +1 more source
Forecasting Inflation in Developing Nations: The Case of Pakistan [PDF]
This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan’s inflation. A framework for ARIMA forecasting is drawn up. On the basis of
Feridun, Mete
core +1 more source