A5061466821- Building Energy and Comfort Optimization
- Integrated Energy Systems Optimization
- Hybrid Renewable Energy Systems
- Energy Efficiency and Management
- Geothermal Energy Systems and Applications
- Smart Grid Energy Management
- Advanced Sensor Technologies Research
- Manufacturing Process and Optimization
- Facilities and Workplace Management
- Urban Planning and Valuation
- Engineering Applied Research
- Soil and Land Suitability Analysis
- Research in Social Sciences
- Wind and Air Flow Studies
- Water Quality Monitoring and Analysis
- Solar Thermal and Photovoltaic Systems
- Catalysts for Methane Reforming
- Urban Transport and Accessibility
- Hydrogen Storage and Materials
- Phase Change Materials Research
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Digital Transformation in Industry
- Electric Vehicles and Infrastructure
- 3D Surveying and Cultural Heritage
- Energy Load and Power Forecasting
VTT Technical Research Centre of Finland
2016-2023
Accurate short-term forecasts of building energy consumption are necessary for profitable demand response. Short-term forecasting methods can be roughly classified into physics-based modelling and data-based modelling. Both these approaches have their advantages disadvantages it would therefore ideal to combine them. This paper proposes a novel approach that allows us the best parts machine learning while avoiding many drawbacks. A key idea in is provide variety parameters as input an...
The current energy crisis raised concern about the lack of electricity during wintertime, especially that consumption should be cut at peak hours. For building owners, this is visible as rising prices. Availability near real-time data on performance opening new opportunities to optimize flexibility capabilities buildings. This paper presents a reinforcement learning (RL)-based method control heating for minimizing cost and shifting usage away from demand Simulations are carried out with...
This paper describes the developed digital twin of an office building and data centre complex. The definition how a used here is that it looks same behaves in way as real counterpart. implemented with integration Building Information Model (BIM), energy measurements predictions consumptions neural networks. A 3D viewer to enable visual analysis consumption different parts building.
The availability of near-real-time data on energy performance is opening new opportunities to optimize buildings’ efficiency and flexibility capabilities support the decision-making planning process building retrofitting infrastructure investment. Existing tools can design contracting. However, there are well-recognized shortcomings these related their usability, complexity, ability perform calculations based real-time buildings. To address this gap, advanced decision tool developed...