Results 31 to 40 of about 13,673 (195)

Prediction of infectious disease epidemics via weighted density ensembles

, 2017
Accurate and reliable predictions of infectious disease dynamics can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission.
Ray, Evan L., Reich, Nicholas G.
core   +3 more sources

Indonesian Government Revenue Prediction Using Long Short-Term Memory

Inspiration
Government revenue plays an important role in achieving national development goals. In the context of optimal state treasury management, accurate forecasts of government revenue are needed so that cash can be utilized optimally for the coming period ...
Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra   +4 more
doaj   +1 more source

Time series modeling and forecasting of a highly regulated riverine system: implications for fisheries management

California Fish and Wildlife Journal, 2020
Here we apply seasonal time series modeling to flow and fisheries management in a highly regulated river system. Time series modeling is commonly employed to forecast future values of streamflow and extrinsic climate-related seasonal data based on ...
Robert M. Sullivan, John P. Hileman
doaj   +1 more source

COMPARISON OF SARIMA, SVR, AND GA-SVR METHODS FOR FORECASTING THE NUMBER OF RAINY DAYS IN BENGKULU CITY

Barekeng, 2022
The number of rainy days is a calculation of the rainy days that occur in one month. In recent years, there has been a decrease in rainy days in some parts of Indonesia.
Novi Puspita, Farit Mochamad Afendi, Bagus Sartono   +2 more
doaj   +1 more source

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, Nokleby, Matthew, Wang, Caisheng, Zhao, Zhongyang   +3 more
core   +1 more source

Climate Variability and Ross River Virus Transmission in Townsville Region, Australia 1985 to 1996 [PDF]

, 2004
Background How climate variability affects the transmission of infectious diseases at a regional level remains unclear. In this paper, we assessed the impact of climate variation on the Ross River virus (RRv) transmission in the Townsville region ...
A. J. McMichael, Aaskov JG, Allard R, Australian Bureau of Statistics, Bowie C, Catalano R, Chatfield C, Checkley W, Curran M, Curriero FC, Doherty RL, Helfenstein U, Helfenstein U, Helfenstein U, Hennessy KJ, Kay BH, Liehne PF, Lindsay M, Lindsay MD, Lindsay MD, Mackenzie JS, McManus TJ, McMichael AJ, Nimmol JR, Russell RC, Shilu Tong, Shope RE, Tabachnick BG, Tong SL, Weinstein P, Wenbiao Hu, Whetton P   +31 more
core   +2 more sources

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

SARIMA Model for Forecasting Price Indices Fluctuations

European Journal of Mathematics and Statistics, 2021
In day-to-day life, the price level fluctuations in the Consumer Price Index (CPI) goods and service. So, the retail consumers are affecting by that price level changes, who are on the demand side of the economy. The main objective of this work is to forecast such selected factors of CPI in urban and rural areas of India, like: Food and Beverages, Pan,
N. Sonai Muthu, K. Senthamarai Kannan, V. Deneshkumar, P. Thangasamy   +3 more
openaire   +2 more sources

Operational solar forecasting for the real-time market [PDF]

, 2019
Despite the significant progress made in solar forecasting over the last decade, most of the proposed models cannot be readily used by independent system operators (ISOs).
Kleissl, J, Wu, E, Yang, D
core   +1 more source

Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data

, 2018
The Industrial Internet of Things drastically increases connectivity of devices in industrial applications. In addition to the benefits in efficiency, scalability and ease of use, this creates novel attack surfaces.
Ahrens, Lia, Anton, Simon Duque, Fraunholz, Daniel, Schotten, Hans Dieter   +3 more
core   +1 more source