Results 21 to 30 of about 536,403 (288)

Distributions of forecasting errors of forecast combinations: Implications for inventory management [PDF]

International Journal of Production Economics, 2016
Inventory control systems rely on accurate and robust forecasts of future demand to support decisions such as setting of safety stocks. The combination of multiple forecasts is shown to be effective not only in reducing forecast errors, but also in being less sensitive to limitations of a single model.
Barrow, Devon Kennard, Kourentzes, Nikolaos   +1 more
openaire   +2 more sources

Forecasting distributed energy resources adoption for power systems

iScience, 2022
Failing to incorporate accurate distributed energy resource penetration forecasts into long-term resource and transmission planning can lead to cost inefficiencies at best and system failures at worst. We have developed an open-source tool that employs an advanced Bass specification to calibrate and forecast technology adoption.
Nicholas Willems, Ashok Sekar, Benjamin Sigrin, Varun Rai   +3 more
openaire   +3 more sources

A hybrid methodology for distribution level photovoltaic power production forecasting verified at the distribution system of Cyprus

IET Renewable Power Generation, 2022
Accurate photovoltaic (PV) power forecasting is an essential tool that enables the efficient integration of solar electricity and energy trading. This work proposes a novel methodology for the implementation of a forecasting tool that provides aggregated
Spyros Theocharides, Chrysovalantis Spanias, Ioannis Papageorgiou, George Makrides, Stavros Stavrinos, Venizelos Efthymiou, George E. Georghiou   +6 more
doaj   +1 more source

Correlated load forecasting in active distribution networks using Spatial‐Temporal Synchronous Graph Convolutional Networks

IET Energy Systems Integration, 2021
Load forecasting becomes increasingly challenging as power distribution networks evolve towards active distribution networks with high‐penetration renewables.
Qun Yu, Zhiyi Li
doaj   +1 more source

Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty

Journal of Modern Power Systems and Clean Energy, 2019
This paper proposes an adjustable and distributionally robust chance-constrained (ADRCC) optimal power flow (OPF) model for economic dispatch considering wind power forecasting uncertainty.
Xin Fang, Bri-Mathias Hodge, Fangxing Li, Ershun Du, Chongqing Kang   +4 more
doaj   +1 more source

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations

Expert Systems with Applications, 2022
Distributed, small-scale solar photovoltaic (PV) systems are being installed at a rapidly increasing rate. This can cause major impacts on distribution networks and energy markets. As a result, there is a significant need for improved forecasting of the power generation of these systems at different time resolutions and horizons.
Maneesha Perera, Julian De Hoog, Kasun Bandara, Saman Halgamuge   +3 more
openaire   +3 more sources

Wastewater flow forecasting model based on the nonlinear autoregressive with exogenous inputs (NARX) neural network

H2Open Journal, 2021
Wastewater flow forecasts are key components in the short- and long-term management of sewer systems. Forecasting flows in sewer networks constitutes a considerable uncertainty for operators due to the nonlinear relationship between causal variables and ...
Khalid El Ghazouli, Jamal El Khattabi, Isam Shahrour, Aziz Soulhi   +3 more
doaj   +1 more source

Short-term power load probabilistic interval multi-step forecasting based on ForecastNet

Energy Reports, 2022
Many uncertain factors to the planning and distribution of the power grid have been brought by connecting to the distributed power grid and increasing active loads.
Yupeng Li, Xifeng Guo, Ye Gao, Baolong Yuan, Shoujin Wang   +4 more
doaj   +1 more source

Forecasting method of electric vehicle load time-space distribution considering traffic distribution [PDF]

E3S Web of Conferences, 2020
The main work of this paper is to establish an electric vehicle(EV) load forecasting model based on road network traffic distribution for urban and inter-city transportation networks.
Liu Weidong, Li Lei, Xie Qin, Li Dan, Zhang Jing   +4 more
doaj   +1 more source

Day-Ahead Solar Forecasting Based on Multi-level Solar Measurements

, 2017
The growing proliferation in solar deployment, especially at distribution level, has made the case for power system operators to develop more accurate solar forecasting models.
Alanazi, Mohana, Khodaei, Amin, Mahoor, Mohsen   +2 more
core   +1 more source