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Energy Conservation Procedure




Title: Energy Conservation

Purpose:

  • Identify and establish a response plan for all energy conservation points.

Scope:

  • Applicable to all areas where energy is used in any form.
  • Requires regular monitoring and control of both current and modified systems to ensure continuous improvement in energy conservation.
  • Cross-references ISO 50001, ISO 14001, and local regulations no.[..........]

Responsibilities:

  • Head of Department (HoD) and Site Operation Supervisor: Implement the Energy Conservation Procedure.

Activities and Responsibilities:

Illumination:

  • All Staff: Switch off lights, fans, and electrical devices when not required.
  • HoD/Site In Charge: Use energy-efficient lamps and luminaires.
  • Supervisor: Keep all lighting equipment and reflectors clean; optimize the use of natural lighting.

At the Workplace:

  • Supervisor: Use high-efficiency and appropriately sized equipment; carry out preventive maintenance and remove sedimentation and scaling regularly; stop all leakage and avoid unnecessary long distribution pipelines; optimize refrigeration needs and refrigerant temperature; check regularly all measuring equipment for calibration.
  • Energy officer: Monitor and control all plant parameters strictly; install monitoring instruments like power meters wherever necessary; use gravity wherever possible for liquid flow.

At the Kitchen:

  • All Staff: Avoid frequent reheating of food; store food in insulated containers.

Energy Technical Assessment by Corporate Technical Team:

  • Energy officer: Conduct technical assessments every 3 to 5 years as per organizational needs, with ECM support from all departments.
  • Corporate Technical Team: Carry out Energy Technical Assessments as part of Energy Conservation Measurement for ongoing enhancement. Activities include evaluating Energy Management maturity, identifying and validating technical aspects, and creating business cases for Energy Efficiency Projects.


Power Meter Installation Strategy Procedure




Objective:

  • Install power meters to understand energy usage patterns and identify potential energy savings opportunities.
  • Prioritize metering of main utility feeds and major energy-consuming equipment/systems.

Scope:

  • This applies to all company facilities.

Responsibilities:

  • Energy officer on Site: Oversee the installation of power meters.
  • Qualified Electricians/Contractors: Perform the actual installation of power meters.

Procedure:

  1. Identify Priority Areas:

    • Identify main utility feeds and major energy-consuming equipment/systems for metering.
  2. Select Appropriate Meters:

    • Determine the appropriate type and size of power meter for each location, considering voltage level, current rating, and type of load.
  3. Obtain Necessary Approvals:

    • Secure approval for power meter installation from relevant authorities, if required.
  4. Engage Qualified Personnel:

    • Ensure qualified electricians or contractors install the power meters per applicable codes and standards.
  5. Calibrate and Commission:

    • Calibrate and commission the power meters post-installation to ensure proper and accurate functioning.
  6. Record and Document:

    • Record each power meter's location, type, and specifications in a central database or system. Ensure this information is easily accessible and regularly updated.
  7. Analyze Data:

    • Use data from power meters to understand energy usage patterns, identify potential energy savings opportunities, and make data-driven decisions to improve energy efficiency.
  8. Regular Maintenance:

    • Regular maintenance and power meter checks are conducted to ensure proper and accurate functioning.
  9. Retire or Replace:

    • Retire or replace power meters that are no longer functional or accurate.
  10. Review and Update:

    • Periodically review and update this procedure to ensure it remains relevant and effective.


Thermographic Imaging Inspections Procedure


Thermographic Imaging Inspections Procedure


Objective

To provide a comprehensive guide for conducting thermographic imaging inspections as part of periodic preventive maintenance and inspections of the electrical distribution system. This non-intrusive and non-destructive inspection method helps identify heating issues in faulty plant and equipment, allowing for timely preventive maintenance without interrupting production processes.

Scope

Applicable to site.

Performance Criteria

  • Legal requirements
  • Corporate requirements

Responsible Parties

  • Safety officer Site
  • Qualified User

Related Documents

[List any related documents here]

References

[List any references here]

Procedure

Introduction

Thermographic Imaging Inspections are essential for maintaining the safety and reliability of electrical and mechanical systems. This procedure outlines the responsibilities and steps for conducting these inspections.

Delta-T Classification and Required Actions

The table below indicates temperature change ranges and the corresponding actions:

Delta-T ClassificationAction RequiredCategory
0°C to 10°CPossible fault developing. Continue monitoring for possible deterioration.Monitor
10°C to 20°CSchedule corrective measures.Next Shutdown
20°C to 40°CUrgent corrective measures required.Urgent
40°C and aboveImmediate corrective measures required.Immediate

Note: Immediate action requires an immediate shutdown, replacement of faulty equipment, and a follow-up thermographic inspection to confirm the issue is resolved.

Types of Electrical Equipment to be Surveyed

  • All plant and equipment
  • Cable runs
  • Bus ducts
  • Main switchboards
  • Distribution sub-boards
  • Motor control panels
  • Motors
  • Substation equipment

Qualified Personnel

A qualified person must conduct the survey. This individual should have:

  • Skills and knowledge related to the construction and operation of electrical equipment and installations.
  • Safety training on the hazards involved.

Requirements:

  • Training and certification per legal requirements or equivalent (e.g., NFPA 70E, Electrical Safety Requirements for Employee Workplaces).
  • Knowledge of equipment and system hazards (e.g., medium voltage, low voltage, environment).
  • Use of appropriate personal protective equipment (PPE), including clothing, face shielding, and gloves.

Minimum Information Required in Thermographic Report

  • Identified signs of damage or overheating.
  • Date and location of the survey.
  • Criteria used to identify potential issues.

Frequency of Inspections

Thermographic Imaging Inspections should be conducted at least once per year.

Reporting

The competent person will issue a report detailing any observed damage, deterioration, defects, dangerous conditions, and non-compliances with current safety standards.

Non-Conformity Case

The safety officer should follow up on non-conformity cases until they are resolved and documented in the report.

Report Keeping

The Thermographic Imaging Inspection report should be retained by the safety officer for future reference.


This revised procedure aims to be clearer and more structured, ensuring all necessary steps and responsibilities are well-defined. 

How to reduce energy consumption in manufacturing?


Reducing energy consumption in manufacturing can lead to significant cost savings and environmental benefits. Here are some effective strategies:

1. Optimize Equipment Performance

  • Regular Maintenance: Ensure all machinery is well-maintained to operate efficiently. This includes lubrication, alignment, and timely repairs[1].
  • Upgrade Equipment: Replace old, inefficient equipment with newer, energy-efficient models[2].

2. Implement Energy-Efficient Lighting

  • LED Lighting: Switch to LED lights, which use up to 80% less energy than traditional incandescent bulbs[1].
  • Smart Lighting Controls: Use motion sensors and timers to reduce energy use in unoccupied areas[2].

3. Conduct Energy Audits

  • Identify Inefficiencies: Regular energy audits can help identify areas where energy is being wasted and suggest improvements[3].

4. Improve Insulation

  • Insulate Buildings: Proper insulation of walls, roofs, and windows can reduce heating and cooling costs[2].
  • Seal Leaks: Ensure there are no leaks in the building envelope to maintain optimal indoor temperatures[3].

5. Optimize HVAC Systems

  • Regular Maintenance: Keep HVAC systems well-maintained to ensure they run efficiently[2].
  • Programmable Thermostats: Use programmable thermostats to optimize heating and cooling schedules[1].

6. Reduce Water Consumption

  • Efficient Fixtures: Install water-efficient fixtures and equipment to reduce water heating costs[3].
  • Recycle Water: Implement water recycling systems to reuse water in processes where possible[3].

7. Educate and Train Employees

  • Energy Awareness Programs: Train employees on energy-saving practices and encourage them to contribute ideas for energy efficiency[3].

8. Implement an Energy Management System

  • Monitoring and Metering: Use energy management systems to monitor and control energy use in real-time[3].
  • Set Targets: Establish energy performance targets and track progress regularly[3].

9. Optimize Production Schedules

  • Off-Peak Operation: Schedule energy-intensive operations during off-peak hours to take advantage of lower energy rates[2].
  • Load Management: Balance the load on electrical systems to avoid peak demand charges[2].

By implementing these strategies, manufacturers can significantly reduce their energy consumption, leading to cost savings and a smaller environmental footprint.



References

How to identify Significant Energy Uses?


Identifying Significant Energy Uses (SEUs) is a key part of the energy review process in ISO 50001. Here are the steps to help you identify SEUs:

Steps to Identify SEUs

  1. Data Collection: Gather detailed data on energy consumption across all facilities, equipment, and processes. This includes historical data and real-time monitoring.
  2. Energy Consumption Analysis: Analyze the collected data to determine which areas consume the most energy. Look for patterns and trends in energy use.
  3. Criteria Establishment: Develop criteria for what constitutes a significant energy use. This can include:
    • High Energy Consumption: Systems or processes that consume a large portion of the total energy.
    • Potential for Improvement: Areas where there is significant potential for energy performance improvement[1][2].
  4. Identification of SEUs: Based on the established criteria, identify the specific systems, equipment, or processes that qualify as SEUs.
  5. Performance Evaluation: Assess the energy performance of the identified SEUs, considering factors like efficiency, operational hours, and load variations.
  6. Review and Update: Regularly review and update the list of SEUs to reflect changes in operations, equipment, or energy use patterns[1][2].

Factors to Consider

  • Operational Hours: Equipment or processes that run for long periods.
  • Energy Intensity: Processes that are energy-intensive by nature.
  • Technology Level: Older or less efficient technologies may be significant energy users.
  • Failure Rates: Equipment with high failure rates may consume more energy due to inefficiencies[2].

By following these steps, you can effectively identify and manage SEUs, leading to better energy performance and cost savings.

Do you need more details on any specific step or factor?


References

What is an energy review?


 An energy review is a crucial component of ISO 50001, focusing on analyzing an organization's energy use and consumption. Here's a breakdown of what it involves:

Key Elements of an Energy Review

  1. Data Collection: Gathering data on energy use and consumption from various sources within the organization.
  2. Analysis of Energy Use: Evaluating past and present energy use to identify patterns and trends.
  3. Identification of Significant Energy Uses (SEUs): Determining which facilities, equipment, systems, or processes consume the most energy.
  4. Performance Evaluation: Assessing the current energy performance of identified SEUs.
  5. Opportunities for Improvement: Identifying and prioritizing opportunities to enhance energy performance, such as using renewable energy sources or improving energy efficiency[1][2].

Purpose of an Energy Review

The energy review helps establish:

  • Energy Performance Indicators (EnPIs): Metrics to measure energy performance.
  • Energy Baselines: Reference points for comparing future energy performance.
  • Objectives and Targets: Goals for improving energy efficiency and reducing consumption.

Regular updates to the energy review are essential, especially when there are significant changes in facilities, equipment, or processes[1].

Would you like more details on any specific part of the energy review process?


References

Examples of successful case studies in manufacturing


 Sure! Here are a few examples of successful case studies in manufacturing:

1. Ford Motor Company

Challenge: Ford needed faster prototyping to accelerate product development and reduce waste and costs. Solution: They integrated 3D printing technology into their manufacturing and prototyping processes. Results: This allowed Ford to reduce the turnaround time for prototyping from months to days, minimizing waste and lowering costs[1].

2. Patagonia

Challenge: High environmental impact of traditional textile production and growing demand for sustainable products. Solution: Patagonia adopted organic cotton and recycled materials, and implemented the Worn Wear program to encourage repair and reuse. Results: These initiatives significantly reduced their carbon footprint and water usage, enhancing their brand reputation among environmentally conscious consumers[1].

3. Siemens AG

Challenge: Increasing production efficiency and flexibility while reducing the carbon footprint. Solution: Siemens launched its Digital Factory initiatives, using digital twins, AI automation, and IoT integration. Results: These technologies improved production efficiency, reduced energy consumption, and enhanced overall operational flexibility[1].

4. Cargill Inc.

Challenge: Navigating global uncertainty and supply chain disruptions. Solution: Implemented continuous improvement methodologies like Lean, Six Sigma, and Kaizen. Results: These practices helped Cargill improve operational efficiency, reduce waste, and enhance supply chain resilience[2].

5. Johnson Controls

Challenge: Achieving operational excellence in manufacturing. Solution: Adopted the Johnson Controls Manufacturing System (JCMS) to improve safety, quality, productivity, and delivery. Results: Significant improvements in these areas led to greater customer satisfaction and employee engagement[3].

These case studies highlight how different companies have successfully implemented innovative strategies to improve their manufacturing processes, reduce environmental impact, and enhance efficiency.

Would you like more details on any specific case study or industry?


References

Examples of SEUs in industries


 Certainly! Here are some examples of Significant Energy Uses (SEUs) in various industries:

Manufacturing

  1. Chemical Manufacturing: Processes like distillation, cracking, and polymerization are energy-intensive.
  2. Steel Manufacturing: The production of steel from iron ore, especially in blast furnaces, consumes a lot of energy.
  3. Aluminum Production: Electrolysis in aluminum smelting is highly energy-demanding[1].

Food Processing

  1. Refrigeration: Keeping products at the required temperatures is a major energy consumer.
  2. Cooking and Baking: Ovens and stoves used in large-scale food production require significant energy[1].

Pulp and Paper Industry

  1. Pulping Processes: Mechanical and chemical pulping processes consume large amounts of energy.
  2. Paper Drying: The drying process in paper production is particularly energy-intensive[1].

Cement Manufacturing

  1. Kilns: The rotary kilns used for clinker production are major energy users.
  2. Grinding Mills: Grinding raw materials and clinker into cement requires substantial energy[1].

Petroleum Refining

  1. Distillation Units: Separating crude oil into various fractions is energy-intensive.
  2. Hydrotreating and Hydrocracking: These processes for refining petroleum products consume significant energy[1].

Glass Manufacturing

  1. Melting Furnaces: Melting raw materials to form glass is a major energy consumer.
  2. Annealing: The process of slowly cooling the glass to relieve internal stresses also uses a lot of energy[1].

These examples illustrate how different industries have specific processes that are significant energy users. Identifying and managing these SEUs can lead to substantial energy savings and improved efficiency.


References

What documents are required for ISO 50001?


Ilustrasi ISO 50001 | pribadi


To comply with ISO 50001:2018, which focuses on energy management systems (EnMS), several key documents and records are required. Here are some of the essential ones:

Mandatory Documents

  1. Energy Policy: A documented energy policy outlining the organization's commitment to energy management.
  2. Objectives and Energy Targets: Documents detailing the objectives and targets for energy performance.
  3. Energy Review: Methods and criteria used to develop the energy review.
  4. Energy Performance Indicators (EnPIs): Methods for determining and updating EnPIs.
  5. Energy Baseline (EnB): Documentation of the energy baseline and relevant variables.
  6. Energy Data Collection Plan: Plans for data collection, monitoring, and measurement.
  7. Control of Processes: Documentation of control over processes affecting energy performance.

Mandatory Records

  1. Results of Energy Review: Records of the results from the energy review.
  2. EnPI Values: Records of EnPI values.
  3. Competence Evidence: Records showing evidence of competence in energy management.
  4. Design Activities: Records related to design activities impacting energy performance.
  5. Audit Results: Records of internal audits and their results.
  6. Management Review: Records of the results from management reviews.
  7. Non-conformities and Corrective Actions: Records of non-conformities, actions taken, and results of corrective actions[1][2].

These documents and records help ensure that the energy management system is effectively implemented and maintained, leading to continuous improvement in energy performance.

Is there a specific area of ISO 50001 you're focusing on, or do you need help with a particular document?


References

Efisiensi Energi Berbasis AI untuk Menghadapi Kepatuhan ISO 50001


Doc/Pribadi


Semakin berkembangnya teknologi, penerapan AI dalam sistem manajemen energi telah menjadi tren yang signifikan. Terutama dalam menghadapi kepatuhan terhadap standar ISO 50001, AI menawarkan solusi yang lebih efisien untuk pemantauan, analisis, dan optimasi penggunaan energi. Artikel ini akan menjelaskan bagaimana AI dapat diintegrasikan dalam manajemen energi, mulai dari pemantauan real-time hingga pelaporan otomatis.

Pengantar

Di dunia yang semakin mengutamakan keberlanjutan, manajemen energi yang efisien adalah kunci utama. ISO 50001 menyediakan kerangka kerja untuk organisasi guna meningkatkan kinerja energi mereka. Dengan menggabungkan AI, perusahaan dapat mencapai efisiensi energi yang lebih tinggi dan mengurangi biaya operasional. Artikel ini akan membahas berbagai aplikasi AI dalam manajemen energi yang sesuai dengan standar ISO 50001 dan memberikan wawasan mendalam bagi para insinyur, manajer energi, dan ahli keberlanjutan.

Pemantauan dan Analisis Real-Time

Pemantauan penggunaan energi secara real-time adalah salah satu keuntungan besar dari penerapan AI. Dengan sensor yang ditempatkan di seluruh fasilitas, AI dapat mengumpulkan data terus-menerus. Data ini kemudian dianalisis untuk mengidentifikasi pola konsumsi energi yang tidak efisien. Sebagai contoh, mesin yang beroperasi di luar jam kerja normal dapat segera terdeteksi, memungkinkan tindakan korektif segera.

AI juga memungkinkan visualisasi data yang lebih baik. Dengan dashboard interaktif, manajer energi dapat melihat laporan penggunaan energi secara mendetail. Hal ini membantu dalam mengidentifikasi area yang memerlukan perbaikan dan mengukur efektivitas inisiatif penghematan energi yang telah diterapkan. Dengan begitu, pengambilan keputusan menjadi lebih cepat dan akurat.

Menurut seorang pakar manajemen energi, "Kemampuan AI untuk menganalisis data dalam jumlah besar dan memberikan wawasan yang dapat ditindaklanjuti adalah game-changer dalam manajemen energi. Ini memungkinkan perusahaan untuk bergerak dari reaksi pasif ke tindakan proaktif."

Prediksi Kebutuhan Energi

Algoritma pembelajaran mesin dapat memprediksi kebutuhan energi di masa depan berdasarkan data historis dan faktor eksternal seperti cuaca. Dengan model prediksi yang canggih, perusahaan dapat merencanakan kebutuhan energi mereka dengan lebih akurat dan mengurangi biaya energi.

Misalnya, pada hari-hari dengan suhu tinggi, sistem HVAC mungkin membutuhkan lebih banyak energi untuk mendinginkan gedung. Dengan prediksi AI, manajer energi dapat mempersiapkan langkah-langkah untuk mengoptimalkan penggunaan energi selama periode tersebut. Ini tidak hanya menghemat biaya tetapi juga menjaga kenyamanan penghuni bangunan.

Selain itu, prediksi kebutuhan energi membantu dalam merencanakan pemeliharaan. Jika ada peningkatan konsumsi energi yang tidak wajar, mungkin ada masalah yang memerlukan perhatian. Dengan demikian, AI berperan dalam mencegah downtime yang tidak terduga dan memastikan operasional berjalan lancar.

Optimasi Operasional

AI dapat mengoptimalkan operasi peralatan dan sistem energi untuk memastikan mereka berjalan pada efisiensi maksimum. Misalnya, AI dapat mengatur suhu HVAC (Heating, Ventilation, and Air Conditioning) berdasarkan jumlah orang di dalam gedung.

Sistem cerdas ini dapat memantau kondisi lingkungan dan menyesuaikan pengaturan secara otomatis. Hal ini tidak hanya menghemat energi tetapi juga meningkatkan kenyamanan penghuni. Dengan optimasi yang berbasis data, perusahaan dapat mencapai efisiensi yang sebelumnya sulit dicapai dengan metode konvensional.

Selain HVAC, AI juga dapat mengoptimalkan penggunaan peralatan lain seperti pencahayaan dan mesin produksi. Dengan mengatur waktu operasi dan intensitas penggunaan secara cerdas, perusahaan dapat mengurangi konsumsi energi tanpa mengorbankan produktivitas.

Deteksi Anomali

Deteksi anomali adalah salah satu aplikasi AI yang paling penting dalam manajemen energi. Sistem AI dapat mendeteksi anomali dalam penggunaan energi yang mungkin menunjukkan masalah atau kegagalan peralatan. Ini memungkinkan pemeliharaan prediktif dan mengurangi downtime.

Misalnya, jika ada lonjakan penggunaan energi yang tidak biasa, sistem AI dapat segera memberikan peringatan. Tim pemeliharaan kemudian dapat memeriksa peralatan sebelum terjadi kerusakan yang lebih serius. Ini tidak hanya menghemat biaya perbaikan tetapi juga memastikan kontinuitas operasional.

Dengan deteksi anomali, perusahaan dapat lebih responsif terhadap masalah dan mengambil tindakan sebelum dampaknya meluas. Ini meningkatkan keandalan sistem energi dan mengurangi risiko kegagalan.

Pelaporan dan Kepatuhan

AI dapat membantu dalam otomatisasi pelaporan dan memastikan kepatuhan terhadap standar ISO 50001 dengan mengumpulkan dan menganalisis data yang relevan secara otomatis. Pelaporan yang akurat dan tepat waktu sangat penting untuk memenuhi persyaratan kepatuhan.

Dengan AI, proses pelaporan menjadi lebih sederhana dan efisien. Data dikumpulkan secara otomatis dari berbagai sumber dan disusun dalam format yang diperlukan. Ini menghilangkan kebutuhan untuk input manual yang rentan terhadap kesalahan.

Selain itu, AI dapat menyimpan rekaman data yang lengkap dan auditable. Ini memudahkan dalam meninjau kembali data saat dibutuhkan dan memastikan transparansi dalam manajemen energi.

Studi Kasus: Implementasi AI dalam Manajemen Energi di Fasilitas Manufaktur

Sebuah perusahaan manufaktur terkemuka memutuskan untuk mengintegrasikan AI ke dalam sistem manajemen energi mereka, dengan tujuan meningkatkan efisiensi operasional dan mengurangi biaya energi. Sebelum penerapan AI, perusahaan mengandalkan metode konvensional untuk monitoring dan optimasi penggunaan energi, yang seringkali tidak memberikan hasil optimal dan responsif terhadap perubahan dinamis di pabrik.

Langkah-Langkah Implementasi

  1. Pemasangan Sensor dan Pengumpulan Data: Tahap pertama adalah pemasangan sensor canggih di seluruh fasilitas untuk mengumpulkan data real-time mengenai konsumsi energi pada berbagai titik.
  2. Penggunaan Algoritma Pembelajaran Mesin: Data yang dikumpulkan kemudian diproses menggunakan algoritma pembelajaran mesin untuk menganalisis pola konsumsi energi, memprediksi kebutuhan di masa depan, dan mendeteksi anomali.
  3. Optimasi Sistem HVAC dan Mesin Produksi: AI digunakan untuk mengoptimalkan pengaturan suhu dan waktu operasi mesin, sehingga berjalan pada efisiensi maksimal tanpa mengorbankan kualitas produksi.
  4. Pelaporan dan Analisis: Dengan AI, perusahaan dapat menghasilkan laporan otomatis yang membantu dalam memantau kepatuhan terhadap ISO 50001 dan memvalidasi strategi manajemen energi.

Hasil dan Manfaat

Setelah implementasi AI, perusahaan melihat penurunan signifikan dalam biaya operasional dan konsumsi energi hingga 20%. Deteksi anomali membantu dalam mengambil tindakan pencegahan sebelum peralatan mengalami kerusakan serius, yang juga mengurangi waktu henti. Dengan efisiensi yang meningkat, perusahaan memenuhi standar ISO 50001 dan meraih pengakuan atas komitmen mereka terhadap keberlanjutan lingkungan.

Penerapan AI telah membuktikan bahwa teknologi canggih ini dapat secara substansial mengubah manajemen energi dalam industri, menjadikan sistem lebih responsif, efisien, dan berkelanjutan.

Kesimpulan

Penerapan AI dalam sistem manajemen energi menawarkan berbagai keuntungan yang signifikan, mulai dari pemantauan real-time hingga pelaporan otomatis. Dengan memanfaatkan teknologi ini, perusahaan dapat mencapai efisiensi energi yang lebih tinggi dan memenuhi standar ISO 50001 dengan lebih mudah.

Bagi para insinyur, manajer energi, dan ahli keberlanjutan, memahami dan mengimplementasikan AI dalam manajemen energi adalah langkah penting menuju masa depan yang lebih hijau dan berkelanjutan. Mari bersama-sama menciptakan dunia yang lebih efisien energi!

Jika Anda tertarik untuk mempelajari lebih lanjut dan melihat bagaimana AI dapat diterapkan dalam manajemen energi di perusahaan Anda, jangan ragu untuk menghubungi kami.

Daftar Pustaka

  1. Smith, J. & Green, L. (2021). Energy Management with Artificial Intelligence: A Comprehensive Guide. New York: TechPress.
  2. O'Rourke, R. (2020). The Impact of AI on Energy Systems: Enhancing Efficiency. London: Energy Innovations Publishing.
  3. Choi, S. H., & Nakamura, Y. (2019). Machine Learning Techniques for Energy Efficiency in Industrial Applications. Tokyo: AI Research Journal.
  4. Jones, M. (2018). Anomaly Detection for Improved Maintenance in Energy Systems. San Francisco: Future Energy Insights.
  5. International Organization for Standardization. (2018). ISO 50001: Energy management systems - Requirements with guidance for use. Geneva: ISO Standards