OpenAlex topic

Energy Load and Power Forecasting

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 3,455 works 265 author topics

Works

3,455 works

PMGT-Net: A physics-informed multi-scale graph transformer framework for explainable national energy dependency forecasting 2026
No abstract yet.
A Novel Hybrid VMD-TCN-BiGRU Model for Solar Irradiation Prediction Using Long-Term Monthly Meteorological Data 2026
No abstract yet.
Intelligent Hybrid Forecasting of Photovoltaic Power using LSTM and XGBoost: Seasonal and Comparative Insights 2026
Accurate forecasting of photovoltaic (PV) power generation is essential for the reliability and cost-effectiveness of renewable-based power systems to be maintained. This study provides a comprehensive comparison of several statistical and machine learning approaches, including SARIMA, SVR, k-NN, RF, XGBoost, and LSTM…
Intelligent Hybrid Forecasting of Photovoltaic Power using LSTM and XGBoost: Seasonal and Comparative Insights 2026
Accurate forecasting of photovoltaic (PV) power generation is essential for the reliability and cost-effectiveness of renewable-based power systems to be maintained. This study provides a comprehensive comparison of several statistical and machine learning approaches, including SARIMA, SVR, k-NN, RF, XGBoost, and LSTM…
An Application on Supplying Türkiye’s Electricity Demand with Hydrogen: Demand Forecasting with ANFIS 2026
No abstract yet.
Estimation of spatial, temporal and sectoral turbulence index and the power-law exponent influence on the wind energy: A case study 2026
No abstract yet.
Novel anomaly-aware machine learning framework for accurate higher heating value prediction of biomass and wastes 2026
No abstract yet.
Modelling and forecasting financial volatility: hybrid econometric-deep learning architectures 2026
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/w…
A Real-Time IoT, LLM, AI-Supported Wind Turbine Failure Prediction System 2026
Abstract. Wind and solar energy are two popular alternative energy sources. However, wind turbines are larger and more complex than solar panels. Accordingly, wind turbines are more exposed to environmental factors and therefore more prone to mechanical failures. Our work improves the reliability and efficiency of win…
Hybrid Deep Learning Models for Solar Energy Production Forecasting: Explainable Artificial Intelligence Approach 2026
The production performance of photovoltaic systems depends not only on historical data but also directly on complex environmental dynamics such as temperature, solar radiation, wind, and cloud cover. In this study, a unique dataset was created by integrating production records from the Yulara Solar system in Australia…
Hybrid Frameworks for Day-Ahead Electricity Price Forecasting: Integrating Wavelet Decomposition and Deep Learning 2026
This study investigates the effectiveness of a hybrid approach integrating wavelet transformation with LSTM-, GRU-, and CNN-based deep learning models to improve price forecasting performance in day-ahead electricity markets. The analysis is conducted using hourly day-ahead price (PTF) and load (L) data covering the p…
Deep Learning and Explainable Artificial Intelligence for Accurate Short-Term Photovoltaic Energy Forecasting 2026
No abstract yet.

Academicians

265 academicians