Optimizing re-planning operation for smart house applying solar radiation forecasting

Atsushi Yona; Tomonobu Senjyu; Toshihisa Funabashi; Paras Mandal; Chul Hwan Kim

doi:10.3390/app4030366

Optimizing re-planning operation for smart house applying solar radiation forecasting

Atsushi Yona
, Tomonobu Senjyu
, Toshihisa Funabashi
, Paras Mandal
, Chul Hwan Kim

Department of Electronic and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.

Original language	English
Pages (from-to)	366-379
Number of pages	14
Journal	Applied Sciences (Switzerland)
Volume	4
Issue number	3
DOIs	https://doi.org/10.3390/app4030366
State	Published - 1 Sep 2014

Keywords

DC smart house
Forecast error
Photovoltaic
Re-planning operation
Solar collector

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/app4030366

Cite this

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title = "Optimizing re-planning operation for smart house applying solar radiation forecasting",

abstract = "This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.",

keywords = "DC smart house, Forecast error, Photovoltaic, Re-planning operation, Solar collector",

author = "Atsushi Yona and Tomonobu Senjyu and Toshihisa Funabashi and Paras Mandal and Kim, \{Chul Hwan\}",

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T1 - Optimizing re-planning operation for smart house applying solar radiation forecasting

AU - Yona, Atsushi

AU - Senjyu, Tomonobu

AU - Funabashi, Toshihisa

AU - Mandal, Paras

AU - Kim, Chul Hwan

PY - 2014/9/1

Y1 - 2014/9/1

N2 - This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.

AB - This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.

KW - DC smart house

KW - Forecast error

KW - Photovoltaic

KW - Re-planning operation

KW - Solar collector

UR - https://www.scopus.com/pages/publications/85051077674

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DO - 10.3390/app4030366

M3 - Article

AN - SCOPUS:85051077674

SN - 2076-3417

VL - 4

SP - 366

EP - 379

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 3

ER -

Optimizing re-planning operation for smart house applying solar radiation forecasting

Abstract

Keywords

UN SDGs

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