Tsalikidis, 2023
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Malakouti et al. | The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction | |
| Salman et al. | Hybrid deep learning models for time series forecasting of solar power | |
| US20230228446A1 (en) | Scalable control of heat pumps with limited smart-home devices | |
| Zdravković et al. | Explainable heat demand forecasting for the novel control strategies of district heating systems | |
| Tsalikidis et al. | Energy load forecasting: One-step ahead hybrid model utilizing ensembling | |
| Chowdhury et al. | Comparison of feasibility between machine learning algorithms in terms of predicting energy consumption of smart grid | |
| US20220124002A1 (en) | Devices and processes for data sample selection for power consumption management | |
| Ahmed et al. | Forecasting of mid-and long-term wind power using machine learning and regression models | |
| Mbey et al. | Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systems | |
| Al-Saffar et al. | Data-efficient MADDPG based on self-attention for IoT energy management systems | |
| Castellini et al. | Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks | |
| Khasawneh et al. | Creating optimized machine learning pipelines for PV power generation forecasting using the grid search and tree-based pipeline optimization tool | |
| Nahid et al. | Short-term customer-centric electric load forecasting for low carbon microgrids using a hybrid model | |
| Selvam et al. | Monitoring of Individual Household Electrical Appliances and Prediction of Energy Consumption Using Machine Learning | |
| Tsalikidis | Data mining/Machine Learning for Smart House in-frastructure | |
| Agaal et al. | Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya | |
| Nazir et al. | Forecasting of electricity consumption in Pakistan based on integrating machine learning algorithms and Monte Carlo simulation | |
| WO2022079280A1 (en) | Devices and processes for data sample selection for power consumption management | |
| Shukla | Advanced Machine Learning and Features Based Data Analytics of Electricity Consumption in USA and India | |
| Vasenin | Machine Learning Techniques for Ensuring the Health of Citizens and the Environmental Sustainability of Buildings | |
| Velvis | Hybrid Multi-Agent Reinforcement Learning for Low-Carbon Dispatch in Renewable Energy Valleys | |
| Hzayen | Short-Term Forecasting of Residential Energy Demand Using Machine Learning and Transformer-Based Deep Learning Models | |
| Crespo | Developing a battery management system for self-consumption systems | |
| Alani | Short-term multiple forecasting of electric energy loads with weather profiles for sustainable demand planning in smart grids for smart homes | |
| Dumas | Microgrid management with weather-based forecasting of energy generation, consumption and prices |