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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Multi-step ahead forecast" (30 stories)

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A decompose-reshape-ensemble deep learning framework for multi-scale short-term photovoltaic power forecasting
Lead StoryNaturetech
May 18

A decompose-reshape-ensemble deep learning framework for multi-scale short-term photovoltaic power forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rWDE2TGp4dTNhWkVPTjYyWVJoM2lMUkcwTHdvVngxcmtZNlZKVTRGZmYxaEpob01KejZXbGlSSnFxcXc4MTFyZTVXSHVqeEJEcXBHQXFXeXgyZDQwVjFB?oc=5" target="_blank">A decompose-reshape-ensemble deep learning framework for multi-scale short-term photovoltaic power forecasting</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Multi-step ahead forecast"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Transformer encoder for one-step-ahead AQI forecasting using multivariate air-quality monitoring data
Frontierstech

Transformer encoder for one-step-ahead AQI forecasting using multivariate air-quality monitoring data

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxQbFhUV1VZeEtFOUhETk5HbDA2TlppbHgtX2s5VHotN2pQcVZqdEVGc3hNUVo0MWZsa1dEclJIbkJyS21DVkFWeUVpWGU0ekNGUDUyUGVGck1JTWxCck5CTml3WkQtdmo2NXVpWjlQZXFXTVFabF9MTVY1SFlPQUFqczdPX1VzZURndThjaHFCOE8yTDNMM2czNUJMcTJVZTdu?oc=5" target="_blank">Transformer encoder for one-step-ahead AQI forecasting using multivariate air-quality monitoring data</a>  <font color="#6f6f6f">Frontiers</font>

Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
Wiley Online Librarygeneral

Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE5HQTRrT1BfRnNPVGl5UmlTeUo3WVp2RHVYaEtUbkNvRHJGSTBHbUR5ZmhhZ0VSMnFsRFNtR2h4UHMwS3BMaXZxWFdFY0hLSmIxSGMwRkkzSXZvNm9HSjNFV3ZQV25lRU5oZEE?oc=5" target="_blank">Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach</a>  <font color="#6f6f6f">Wiley Online Library</font>

A multi-step short-term photovoltaic power prediction model based on an improved whale migration algorithm
Naturetech

A multi-step short-term photovoltaic power prediction model based on an improved whale migration algorithm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zVXJuZE0zWDltS1JVSW5Makk2eXUzbnB0dTJFVWdvZnZVcFRhWlhFZWwwbEh2bmtjMHhXZnRWejE3ZWdNV29CQW83RHRVeU5GaWttbWJ2Zk1iRExYVXF3?oc=5" target="_blank">A multi-step short-term photovoltaic power prediction model based on an improved whale migration algorithm</a>  <font color="#6f6f6f">Nature</font>

Multi-step time series forecasting with XGBoost
Towards Data Sciencegeneral

Multi-step time series forecasting with XGBoost

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxNaDl2R0ZQWjE2MjMxcktGYkl6R0o5NFNweDFNUERpWTZ0eEFjQ1Q1N2ZiUDFidDA5eTh5SGc5cWc4VUZUa21NUHk4RFd2cl94ck9FYjBqUWI3RWJFa1k4NDF1aEo4ZUctaDJBa0VyaWNUQTlpSFoyT2s4RHhPc1ZfSW0xVU54WE5mT19XakhtaHJLNi1MTDVF?oc=5" target="_blank">Multi-step time series forecasting with XGBoost</a>  <font color="#6f6f6f">Towards Data Science</font>

Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing | Communications Engineering
Naturepolitics

Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing | Communications Engineering

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50anoza2lscXM5Smx0TzFZQ1NrQUFvdnNmUU40dk9yVlhrc2ZBNzdSTm02aHBWY08wSG55dHVCWUlISEJjOHJ3OFZ5TXB5dkhfTVhfUVdLTlpMRkd2OHZv?oc=5" target="_blank">Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing | Communications Engineering</a>  <font color="#6f6f6f">Nature</font>

A nonlinear grey combined model for forecasting port container throughput in the post-pandemic era
Frontierstech

A nonlinear grey combined model for forecasting port container throughput in the post-pandemic era

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxNUGZscnJXU2QyRTQzNUprMGJGNXQ2aElRQnF2OENiRDh4TVhwc1hxRHllMzdqdnBRRThrR0VhVnZBeGxrMEZOdU45cmV1c0xzUGtsZnVhZWpZQUtrTnJ5UEVVcDdfUHNrRFAwTDg2TDVLYlhoMURJaFpoYUlFbERZV0RmNEgxMHZRa1ZUdVE5NTFBMWh1YUow?oc=5" target="_blank">A nonlinear grey combined model for forecasting port container throughput in the post-pandemic era</a>  <font color="#6f6f6f">Frontiers</font>

Multi-scale wind speed prediction model based on improved escape algorithm for optimizing time-varying filtering empirical modal decomposition
Naturegeneral

Multi-scale wind speed prediction model based on improved escape algorithm for optimizing time-varying filtering empirical modal decomposition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01d05fLUptVF80UWp0MTRPZnRVa05DX2tlQV9Bc2swd3JUS0dXYU8zOUROLTBUMjljeWtsQXVBR0Rhd29PeUpqNG5sVzlBU3c1SGdjRTk5REM5YWYwZGpV?oc=5" target="_blank">Multi-scale wind speed prediction model based on improved escape algorithm for optimizing time-varying filtering empirical modal decomposition</a>  <font color="#6f6f6f">Nature</font>

Continuous-time air pollutant forecasting using multi-timescale attention neural ordinary differential equations (MA-NODE)
Naturetech

Continuous-time air pollutant forecasting using multi-timescale attention neural ordinary differential equations (MA-NODE)

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9wNzRFOExaaGVRREkybzFOQVlKRVh6ZHBzRG1YS2F3Vm1Kd3FrekhubEpnMXB3TmxNaldRcVM4NXFaQnVHcjROdFZQdEgzS2w2eGxxV3JfT2lNN2RRZGgw?oc=5" target="_blank">Continuous-time air pollutant forecasting using multi-timescale attention neural ordinary differential equations (MA-NODE)</a>  <font color="#6f6f6f">Nature</font>

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization
Naturegeneral

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1uVFJLN2JRUjJoamZ0d2YtN1BQSnNBNDN5dFNJbUM1Q0hxSTNFZGVlTkxoX0t0bFZsYy1ScnhvcHhtWjU1Q29EcjFiM0pKRFg1MmhtSGVqcTJCUU02VWk4?oc=5" target="_blank">Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization</a>  <font color="#6f6f6f">Nature</font>

Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios
Naturetech

Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5fcFI5ZGc1a2t1bTQ2T1JVUG11LVlGNmhRYUY4alJRendLZmJIRDV3aE1vN3AtQm5oalE4RURHR1RCSlBBb1NFcmd5SWwtUHpGRG01SUQ1YkxCX2Zma2Fj?oc=5" target="_blank">Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios</a>  <font color="#6f6f6f">Nature</font>

Paying attention to distortion: improving the accuracy of multistep-ahead carbon price forecasting with shape and temporal criteria
Naturegeneral

Paying attention to distortion: improving the accuracy of multistep-ahead carbon price forecasting with shape and temporal criteria

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ONXVta2piaHc5LWZPTVBReWFiZGVLN01pSmY3dXZZSWhDSnJpOGJEVFRoOFRjRDBqbVFXa3BURm1EczZJNHpTNjB6eFZKNDlXdkFRX28zOHdOeFBaWjZn?oc=5" target="_blank">Paying attention to distortion: improving the accuracy of multistep-ahead carbon price forecasting with shape and temporal criteria</a>  <font color="#6f6f6f">Nature</font>

Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm | Scientific Reports
Naturepolitics

Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB0cElDckNKY0R4Z0FPM1lvU0pGdzVORGpkT01IdmZzM0FRb1dsUnFCc2ZRX3dMTVRHeE5zUzRKbDJKLWlRdDNWd3BrZk5IR3pXcURaR1JwR21NTFNRUlpV?oc=5" target="_blank">Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Natureworld

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE83WUFPQ2lLZDdGWDA3LVU5VlV0SVVvT1hLOEpidFlfX3ZRMnB1N3ZZZlowOC1qYlJmQUlicGkxa3QyT3B5Tlh4TlV5cGgxdzl6TkN2VGFKWjRGenROaGI4?oc=5" target="_blank">SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting</a>  <font color="#6f6f6f">Nature</font>

Multi-step forecasting of dissolved oxygen in River Ganga based on CEEMDAN-AdaBoost-BiLSTM-LSTM model
Naturegeneral

Multi-step forecasting of dissolved oxygen in River Ganga based on CEEMDAN-AdaBoost-BiLSTM-LSTM model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBkdHgwM3RHX1U0UG1QQVFJcGZPcW0zNVl1ekpfTl90RnpGRjVHZTZubklUTzVINUdQMEJqQWx0MmM3blFEQjB2NEs3aDY0Yi14ek1jbXVYTC1qM2JGbDlV?oc=5" target="_blank">Multi-step forecasting of dissolved oxygen in River Ganga based on CEEMDAN-AdaBoost-BiLSTM-LSTM model</a>  <font color="#6f6f6f">Nature</font>

A genetic algorithm-based ensemble framework for wind speed forecasting
Naturegeneral

A genetic algorithm-based ensemble framework for wind speed forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05YzRpMzUwMEpvTndZQ3dYcjNRZTdxTUFqdm9VNTRxdzNKTFBFekZnOUNpaTFrLU91M0k1S1g3QVhHcDNhREUwOTU0RjdtZzE2TVlZZnp3YXJkUnNfbjI0?oc=5" target="_blank">A genetic algorithm-based ensemble framework for wind speed forecasting</a>  <font color="#6f6f6f">Nature</font>

Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection | Scientific Reports
Naturepolitics

Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE43YndFbzViRmpRWkZmOFVvZllNQkFiTl9CQ1VGcGFDNnlWRmk2TzhiTEZ1bl9TdVhFSWwySVZPSEc2VUxmajJFRElRWjZKTHNWU2Z4aWItZGF5dEZlVHMw?oc=5" target="_blank">Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Time-series forecasting through recurrent topology
Naturegeneral

Time-series forecasting through recurrent topology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SLWNYVFBzRldpbHlPMzE3RE84NkJFQXJWODBISjU0aFJPWDlfc0RmVzUtSmwwR05acURGS1FhMGNQT3ZUbGVxS0dNZ0ZTVm5MTmdVMWZUQzJvUkJZZXBJ?oc=5" target="_blank">Time-series forecasting through recurrent topology</a>  <font color="#6f6f6f">Nature</font>

Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model
Naturetech

Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5tYjNKX2pnVnBRYWRXNjVTU21pamVQcC16a2tZQWEtSTBvc2JGUkpiSDlOZ2xNTHR1SzlqUVl2MmNDXzAxbGtHN0F0dXZMc0FTOW9VWFJyOXRjc3dxRF9B?oc=5" target="_blank">Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model</a>  <font color="#6f6f6f">Nature</font>

Comparative evaluation of several models for forecasting hourly electricity use in a steel plant | Scientific Reports
Naturegeneral

Comparative evaluation of several models for forecasting hourly electricity use in a steel plant | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZTXBVbzdNU19NaWRrQmRjT0xCZkc1Vlpuck8tMjcwbzNMUjBya19Da0ZiWExFQm9vQ0hKTk5BcG5PQm5wc041enY2YnN5WFAyMktlaG1NZUM4ZzU4d1U4?oc=5" target="_blank">Comparative evaluation of several models for forecasting hourly electricity use in a steel plant | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks
AGU Publicationstech

Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9fWmRyZ1lkUnlaaC0td3hYS2hEdVdCSXZ6cWRQNnFJeGtScFhCVXgyeS1BdjhQcV80SDdLdE5jMVExZng5Rnh6NlhJTzhHRVBWX082c2l5ZzVhbm9VZ09ORUQ5Z0FwM3FhYm92ZWp6RFdGaDNUN2YzRg?oc=5" target="_blank">Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks</a>  <font color="#6f6f6f">AGU Publications</font>

Accurate Sea Level Anomaly Forecast over North Pacific with Improved AI Training Strategies
Science Partner Journalstech

Accurate Sea Level Anomaly Forecast over North Pacific with Improved AI Training Strategies

<a href="https://news.google.com/rss/articles/CBMiWkFVX3lxTFAyallaSFY1ajZ3U3N2OG5STVBRUkdWUElLQzdmVi1wbjhMTHVMdTZnMncyREhUVFlyX2NnMjEwNWtveXFPSUFMU3VHTmZJVWY4bk1kZ2VpUzNnQQ?oc=5" target="_blank">Accurate Sea Level Anomaly Forecast over North Pacific with Improved AI Training Strategies</a>  <font color="#6f6f6f">Science Partner Journals</font>

A multiscale model for multivariate time series forecasting
Naturegeneral

A multiscale model for multivariate time series forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9veEtjSU5YdGxtRXltcGhkdFpsazduRThjNm15UjlpaUYtNll1dDJySXpqb0Q5Q01LNXp2Ti1EaGxNTDFpVWxYbm5WbjFEczJScnhFelRhajNHTVpVOGhz?oc=5" target="_blank">A multiscale model for multivariate time series forecasting</a>  <font color="#6f6f6f">Nature</font>

Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting
Naturetech

Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9DUWtUcHpxRXN4QjZFRWlnSEd3VlRJbkoyZXVRd0tDZkdnRWhDcm9RU3c2Z280M0lGdVhlOENDcWtPdXFuQ1hDRHRYOGN4bl9wajZKVHlQV1hqX040dWJv?oc=5" target="_blank">Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting</a>  <font color="#6f6f6f">Nature</font>

Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
Naturegeneral

Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54cDhOaE9DcWhZLWwxTENsSHVWbDA0RkttQmlraGQ4U2QwbmpBU1ZMNlV5RndudXhJVm5ieFM4VFM1V2tyRkxPYmlvdnZjcVZuMkxpd3Y3SDJGRF84TUNj?oc=5" target="_blank">Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting</a>  <font color="#6f6f6f">Nature</font>

Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Naturegeneral

Short-term streamflow modeling using data-intelligence evolutionary machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IZGhlbnVqTWRDWEhzX3ZrQmRyUnV0UVJsOWtHUG15T3pxY2oyeW1nWGkwbWtBbHVOZGJ5UVdEOEdpLTFNY2FNaFpVVU5hc2M4V0UxZXdfOWhWVDFwaTBj?oc=5" target="_blank">Short-term streamflow modeling using data-intelligence evolutionary machine learning models</a>  <font color="#6f6f6f">Nature</font>

Effective multi‐step ahead container throughput forecasting under the complex context
Wiley Online Librarytech

Effective multi‐step ahead container throughput forecasting under the complex context

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE54c29KOUtuY2tLRTNXUUlJYmVBNFNqRDhCOWY2NEpXZ210LWdSSUcwR2VpVWZ6UXJObFJDMkxKV0NDbTk1MGZ3MW1WS0dFX3NJQThTMkItWmZ1MGx0QzltcTZRempzUklB?oc=5" target="_blank">Effective multi‐step ahead container throughput forecasting under the complex context</a>  <font color="#6f6f6f">Wiley Online Library</font>

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients
Naturegeneral

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wS281U0g3LU1OM3BLUkNaN1Vnd1ZPSUd0dlR2UHhyUWFkMWs0UUQ4Y2ItbVJ5QUFJUW9WUWNndlZLR0dHY29BNnZIdmNPOGRPMy13YUxwSzBCMVZrLXlz?oc=5" target="_blank">Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients</a>  <font color="#6f6f6f">Nature</font>

Robust adaptive optimization for sustainable water demand prediction in water distribution systems
Naturetech

Robust adaptive optimization for sustainable water demand prediction in water distribution systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vY09kQXIxWG9rV3lIU2kwSkt4UlJHd0tMLVR0Ry1DV3hMZm9oM1VlT1k2MHNLLTJpM0E3cmJ1XzdWNGhIWDk5YV9XY3RDLTMxSW1XVzc4NXRKRUxLRkU0?oc=5" target="_blank">Robust adaptive optimization for sustainable water demand prediction in water distribution systems</a>  <font color="#6f6f6f">Nature</font>

Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction
Naturegeneral

Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1hTmpoajdhRjBVX3MyOGlpRFA1UjlXNFFSTU4zWjdhRDN5blJXLWEtcEJWaG5qQWVsYkJXWkM2RTlBX29qWEphc2x6bUE4TU1KbFUzWEI4LWNsYXBzOFVF?oc=5" target="_blank">Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction</a>  <font color="#6f6f6f">Nature</font>

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