[
1. Perera, D.W., & Skeie, N. (2016). Comparison of Space Heating Energy Consumption of Residential Buildings Based on Traditional and Model-Based Techniques. Buildings, 7 (2), 27.
]Search in Google Scholar
[
2. Galanis, G., Louka, P., Katsafados, P., Pytharoulis, I., & Kallos, G. (2006). Applications of Kalman Filters Based on Non-Linear Functions to Numerical Weather Predictions. Ann. Geophys, 24, 2451–2460.10.5194/angeo-24-2451-2006
]Search in Google Scholar
[
3. Anadranistakis, M., Lagouvardos, K., Kotroni, V., & Skouras, K. (2002). Combination of Kalman Filter and an Empirical Method for the Correction of Near-Surface Temperature Forecasts: Application over Greece. Geophysical Research Letters, 29 (16), 231–234.10.1029/2002GL014773
]Search in Google Scholar
[
4. Libonati, R., Trigo, I., & DaCamara, C. (2008). Correction of 2 m-Temperature Forecasts Using Kalman Filtering Technique. Atmospheric Research, 87, 183–197.10.1016/j.atmosres.2007.08.006
]Search in Google Scholar
[
5. Homleid, M. (1995). Diurnal Corrections of Short-Term Surface Temperature Forecasts Using the Kalman Filter. Weather and Forecasting, 10 (4), 689–707.10.1175/1520-0434(1995)010<0689:DCOSTS>2.0.CO;2
]Search in Google Scholar
[
6. Brunet, N., Verret, R., & Yacowar, N. (1988). An Objective Comparison of Model Output Statistics and “Perfect Prog Systems” in Producing Numerical Weather Element Forecasts. Weather and Forecasting, 3 (4), 273–281.10.1175/1520-0434(1988)003<0273:AOCOMO>2.0.CO;2
]Search in Google Scholar
[
7. Bo, P. (2004). A Statistical Method for Forecasting Extreme Daily Temperatures Using ECMWF 2-m Temperatures and Ground Station Measurements. Meteorol, 245–251.10.1017/S1350482704001318
]Search in Google Scholar
[
8. Chai, B., Tushar, W., Hassan, N. U., Yuen, C., & Yang, Z. (2016). Managing energy consumption in buildings through offline and online control of HVAC systems. In IEEE Region 10 Conference (TENCON), (pp. 3368–3373), 22–25 November 2016, Singapore.10.1109/TENCON.2016.7848677
]Search in Google Scholar
[
9. Hadwan, H., & Reddy, P. (2016). Smart Home Control by Using Raspberry Pi & Arduino. International Journal of Advanced Research in Computer and Communication Engineering, 5 (4), 283–288.
]Search in Google Scholar
[
10. Lynggaard, P. (2014). Artificial Intelligence and Internet of Things in a “Smart Home” Context: A Distributed System Architecture. PhD Thesis. Press / Media.
]Search in Google Scholar
[
11. Gomez Ortega, L., Han, L., Whittacker, N., & Bowring, N. (2015). A machine-learning based approach to model user occupancy and activity patterns for energy saving in buildings. In Science and Information Conference, (pp. 474–482), 10–12 June 2015, London, UK.
]Search in Google Scholar
[
12. Zhang, Y., & Handy, I. (2007). Short-Term Prediction of Weather Parameters Using Online Weather Forecasts. Building Simulation 2007, 1411 – 1417.
]Search in Google Scholar
[
13. Mohinder, S., Grewal, & Angus, P. (2008). Kalman filtering: Theory and practice using MATLAB (3rd ed.). New Jersey: John Wiley & Sons.
]Search in Google Scholar
[
14. Rolando, D., Madani, H., Braida, G., Tomasetig, R., & Mohammadi, Z. (2017). Heat pump system control: The potential improvement based on perfect prediction of weather forecast and user occupancy. In 12th IEA Heat Pump Conference 2017, (pp. 1–9), 15–18 May 2017, Rotterdam, Netherlands.
]Search in Google Scholar
[
15. Bogdanovs, N., Bistrovs, V., Ipatovs, A., & Beļinskis, R. (2018). Weather prediction algorithm based on historical data using Kalman filter. In 2018 Advances in Wireless and Optical Communications (RTUWO), (pp. 94–99), 15–16 November 2018, Riga, Latvia.10.1109/RTUWO.2018.8587795
]Search in Google Scholar
[
16. Siroky, J., Oldewurtel, F., Cigler, J., & Prívara, S. (2011). Experimental Analysis of Model Predictive Control for an Energy Efficient Building Heating System. Applied Energy, 88 (9), 3079–3087.10.1016/j.apenergy.2011.03.009
]Search in Google Scholar
[
17. Brown, R.G., & Hwang, P.Y.C. (1997). Introduction to random signals and applied Kalman filtering. Wiley.
]Search in Google Scholar
