Results 41 to 50 of about 177,951 (296)

Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production [PDF]

, 2003
This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation of electric generation utilities.
A. Troncoso Lora, A.D. Papalexopoulos, A.J. Wood, B.V. Dasarathy, F.J. Nogales, J. Riquelme, R. Lamedica, S.A. Alfuhaid   +7 more
core   +2 more sources

Development of Neurofuzzy Architectures for Electricity Price Forecasting [PDF]

, 2020
In 20th century, many countries have liberalized their electricity market. This power markets liberalization has directed generation companies as well as wholesale buyers to undertake a greater intense risk exposure compared to the old centralized ...
Alshejari, A, Alshejari, A, Kodogiannis, V., Kodogiannis, V., Leonidis, S, Leonidis, S   +5 more
core   +1 more source

Load Forecasting Model Using LSTM for Indian State Load Dispatch Centre

Electrica
This paper presents an approach to address the critical challenge of load forecasting in the Indian state of Odisha. Motivated by the necessity for accurate predictions to support efficient planning and operation of the power system network, the work ...
Rashmi Bareth, Matushree Kochar, Anamika Yadav, Mohammad Pazoki   +3 more
doaj   +1 more source

Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

IEEE Access, 2019
Load forecasting is useful for various applications, including maintenance planning. The study of load forecasting using recent state-of-the-art hybrid artificial intelligence (AI) and deep learning (DL) techniques is limited in South Africa (SA) and ...
Sibonelo Motepe, Ali N. Hasan, Riaan Stopforth   +2 more
doaj   +1 more source

A Multi-Level Collaborative Load Forecasting Method for Distribution Networks Based on Distributed Optimization

Shanghai Jiaotong Daxue xuebao, 2021
At present, new elements such as distributed new energy and electric vehicles have emerged in the distribution network, which changes the composition of loads, enriches the connotation of loads, and poses severe challenges to load forecasting.
TAN Jia, LI Zhiyi, YANG Huan, ZHAO Rongxiang, JU Ping
doaj   +1 more source

Load pocket forecasting software [PDF]

IEEE PES Power Systems Conference and Exposition, 2004., 2005
In this paper we describe the load pocket forecasting software that can be used by electric utilities to estimate and forecast the load growth in different service areas. The software builds statistical load models for various service areas (load pockets), estimates weather-normalized loads, estimates the ratios between the actual peak loads and the ...
E.A. Feinberg, D. Genethliou, J.T. Hajagos, B.G. Irrgang, R.J. Rossin   +4 more
openaire   +1 more source

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

, 2017
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective ...
Bianchi, Filippo Maria, Jenssen, Robert, Kampffmeyer, Michael C., Maiorino, Enrico, Rizzi, Antonello   +4 more
core   +1 more source

A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method

Energies, 2022
In this paper, a novel short-term load forecasting method amalgamated with quantile regression random forest is proposed. Comprised with point forecasting, it is capable of quantifying the uncertainty of power load.
Sanlei Dang, Long Peng, Jingming Zhao, Jiajie Li, Zhengmin Kong   +4 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration [PDF]

, 2017
Motivated by the increasing integration among electricity markets, in this paper we propose two different methods to incorporate market integration in electricity price forecasting and to improve the predictive performance.
De Ridder, Fjo, De Schutter, Bart, Lago, Jesus, Vrancx, Peter   +3 more
core   +6 more sources