An evolutionary approach to modeling and control of space heating and thermal storage systems

Online Unsupervised Occupancy Anticipation System Applied to Residential Heat Load Management

“…In this work, a linear model based on an equivalent Resistance-Capacitance network (2R1C) is used to estimate the thermal dynamics of the house in each thermal zone [43]. Equation (18) presents the energy balance between the heat flux imposed into the environment by the space heaters and the thermal losses of the rooms [2].…”

“…In Quebec, where this study is conducted, Electric Space Heating (ESH) systems account for about 62% of the yearly household energy consumption [1]. These systems can significantly increase power demand during peak load hours as a great number of customers simultaneously heat their homes [2]. Over the last decades, many electricity suppliers have promoted demand-side management (DSM) strategies based on price [3] and incentive-penalty [4] to exploit energy demand flexibility [5].…”

“… Influxdb, Telegraf, and Chronograf are all open-source developments of the Influxdata company, which provide a platform for developing time series applications[48] 2. Building Automation and Control Networks (BACnet) is a data communication protocol for building automation and control networks.…”

Ensemble Grey and Black-Box System Identification for Friction Models

“…It means that they may get stuck in a local optimum without finding a global optimum [14]. Different classes of algorithms have been also used for the task of system identification, such as artificial neural networks (ANN) [15][16][17][18][19], Evolutionary Algorithms (EAs) [20][21][22][23][24], swarm intelligence [25][26][27][28][29].…”